library(tidyverse)
library(tidylog)
library(janitor)
library(devtools)
library(sdmTMB)
library(patchwork)
library(terra)
# Import some plotting functions
# Source code for map plots
# You need: # devtools::install_github("seananderson/ggsidekick") # not on CRAN; library(ggsidekick)
devtools::source_url("https://raw.githubusercontent.com/maxlindmark/pred-prey-overlap/main/R/functions/map-plot.R")
options(ggplot2.continuous.colour = "viridis")
# Set path
home <- here::here()Prepare stomach content data
Load libraries
Read data
I downloaded stomach data from the Baltic, all countries, from year 1993-now, on the morning of Sep 22nd. I see lots of new and old data missing. Here’s a test script to prepare those data. Text in red are warnings/questions from me.
In our case study, we want to create a response variable that is the weight ratio of saduria, herring and sprat (separately) to cod weight. Hence we need, per predator, the total weight of these species, and if they are absent, weight should be 0. We also need coordinates for these stomachs. To get there, we need to do the follow:
- Join all data sets
- Filter predators with the above prey present and calculate the total weight of these for each predator
- Filter predators where these prey are not present.
- Bind rows, and replace NA with 0
fi <- read_csv(paste0(home, "/data/stomach/StomachContent_0923093291/File_information.csv"))Rows: 25 Columns: 4
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (2): Country, CruiseID
dbl (2): tblUploadID, Reporting_organisation
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.hi <- read_csv(paste0(home, "/data/stomach/StomachContent_0923093291/HaulInformation.csv"))Rows: 783 Columns: 19
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (7): Ship, Gear, Time, ICESrectangle, Survey, ICESDatabase, Notes
dbl (12): tblUploadID, tblHaulID, HaulNo, StationNumber, Year, Month, Day, S...
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.pred <- read_csv(paste0(home, "/data/stomach/StomachContent_0923093291/PredatorInformation.csv"))Rows: 14066 Columns: 30
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (9): Ship, Gear, Time, Code, Sex, MaturityScale, PreservationMethod, Ge...
dbl (18): tblUploadID, tblHaulID, tblPredatorInformationID, HaulNo, StationN...
lgl (3): StomachFullness, FullStomWgt, EmptyStomWgt
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.prey <- read_csv(paste0(home, "/data/stomach/StomachContent_0923093291/PreyInformation.csv"))Rows: 22570 Columns: 30
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (9): Ship, Gear, Time, IdentMet, GravMethod, UnitWgt, UnitLngt, OtherIt...
dbl (21): tblUploadID, tblHaulID, tblPredatorInformationID, tblPreyInformati...
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.# test
prey |> filter(Year == 2018 & AphiaIDPrey == 293511)filter: removed 22,509 rows (>99%), 61 rows remaining# A tibble: 61 × 30
tblUploadID tblHaulID tblPredatorInformati…¹ tblPreyInformationID Ship Gear
<dbl> <dbl> <dbl> <dbl> <chr> <chr>
1 8189 3023 30541 49667 26D4 TV3
2 8189 3023 30543 49682 26D4 TV3
3 8189 3023 30545 49690 26D4 TV3
4 8189 3023 30548 49699 26D4 TV3
5 8189 3026 29686 49718 26D4 TV3
6 8189 3027 29702 49735 26D4 TV3
7 8189 3027 29704 49743 26D4 TV3
8 8189 3027 29709 49753 26D4 TV3
9 8189 3029 29722 49775 26D4 TV3
10 8189 3030 29731 49781 26D4 TV3
# ℹ 51 more rows
# ℹ abbreviated name: ¹tblPredatorInformationID
# ℹ 24 more variables: HaulNo <dbl>, StationNumber <dbl>, Year <dbl>,
# Month <dbl>, Day <dbl>, Time <chr>, FishID <dbl>, AphiaIDPredator <dbl>,
# AphiaIDPrey <dbl>, IdentMet <chr>, DigestionStage <dbl>, GravMethod <chr>,
# SubFactor <dbl>, PreySequence <dbl>, Count <dbl>, UnitWgt <chr>,
# Weight <dbl>, UnitLngt <chr>, Length <dbl>, OtherItems <chr>, …Have a look at the data… The description of the data can be found here: http://datsu.ices.dk/web/selRep.aspx?Dataset=157
names(fi)[1] "tblUploadID" "Country" "Reporting_organisation"
[4] "CruiseID" names(hi) [1] "tblUploadID" "tblHaulID" "Ship" "Gear"
[5] "HaulNo" "StationNumber" "Year" "Month"
[9] "Day" "Time" "ShootLat" "ShootLong"
[13] "HaulLat" "HaulLong" "ICESrectangle" "Depth"
[17] "Survey" "ICESDatabase" "Notes" names(pred) [1] "tblUploadID" "tblHaulID"
[3] "tblPredatorInformationID" "Ship"
[5] "Gear" "HaulNo"
[7] "StationNumber" "Year"
[9] "Month" "Day"
[11] "Time" "FishID"
[13] "AphiaIDPredator" "IndWgt"
[15] "Number" "MeasurementIncrement"
[17] "Length" "Code"
[19] "Age" "Sex"
[21] "MaturityScale" "MaturityStage"
[23] "PreservationMethod" "Regurgitated"
[25] "StomachFullness" "FullStomWgt"
[27] "EmptyStomWgt" "StomachEmpty"
[29] "GenSamp" "Notes" names(prey) [1] "tblUploadID" "tblHaulID"
[3] "tblPredatorInformationID" "tblPreyInformationID"
[5] "Ship" "Gear"
[7] "HaulNo" "StationNumber"
[9] "Year" "Month"
[11] "Day" "Time"
[13] "FishID" "AphiaIDPredator"
[15] "AphiaIDPrey" "IdentMet"
[17] "DigestionStage" "GravMethod"
[19] "SubFactor" "PreySequence"
[21] "Count" "UnitWgt"
[23] "Weight" "UnitLngt"
[25] "Length" "OtherItems"
[27] "OtherCount" "OtherWgt"
[29] "AnalysingOrg" "Notes" Join all data files
We do this specific order: fi -> hi -> pred -> prey.
For some joins, there are multiple column names shared in addition to the key. I suppose I could remove them and keep only the ID key and the non-shared columns, but in I could also keep them. First I need to ensure they are the same, and not only have the same name though. Will also check if both datasets have the same amount of NA before choosing which column to carry from which dataset.
hi <- left_join(hi, fi, by = "tblUploadID")left_join: added 3 columns (Country, Reporting_organisation, CruiseID) > rows only in x 0 > rows only in y ( 0) > matched rows 783 > ===== > rows total 783comcol_hi_pred <- intersect(colnames(pred), colnames(hi))
# Check if any of the two datasets have NA in the common columns
unique(is.na(hi |> dplyr::select(all_of(comcol_hi_pred)))) tblUploadID tblHaulID Ship Gear HaulNo StationNumber Year Month Day
[1,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[2,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
Time Notes
[1,] FALSE TRUE
[2,] FALSE FALSEunique(is.na(pred |> dplyr::select(all_of(comcol_hi_pred)))) tblUploadID tblHaulID Ship Gear HaulNo StationNumber Year Month Day
[1,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[2,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
Time Notes
[1,] FALSE FALSE
[2,] FALSE TRUE# Nope, but the column Notes does have different meanings so we will remove that before joining
pred <- left_join(pred |> dplyr::select(-Notes),
hi |> dplyr::select(-Notes),
by = comcol_hi_pred[!comcol_hi_pred == "Notes"])left_join: added 11 columns (ShootLat, ShootLong, HaulLat, HaulLong, ICESrectangle, …) > rows only in x 0 > rows only in y ( 0) > matched rows 14,066 > ======== > rows total 14,066Now let’s join predator data to prey data following the same procedure.
intersect(colnames(pred), colnames(prey)) [1] "tblUploadID" "tblHaulID"
[3] "tblPredatorInformationID" "Ship"
[5] "Gear" "HaulNo"
[7] "StationNumber" "Year"
[9] "Month" "Day"
[11] "Time" "FishID"
[13] "AphiaIDPredator" "Length" # Length is a common column, but it corresponds to predator or prey. Rename!
pred <- pred |> rename(pred_length = Length)rename: renamed one variable (pred_length)prey <- prey |> rename(prey_length = Length)rename: renamed one variable (prey_length)comcol_prey_pred <- intersect(colnames(pred), colnames(prey))
comcol_prey_pred [1] "tblUploadID" "tblHaulID"
[3] "tblPredatorInformationID" "Ship"
[5] "Gear" "HaulNo"
[7] "StationNumber" "Year"
[9] "Month" "Day"
[11] "Time" "FishID"
[13] "AphiaIDPredator" # Check if any of the two datasets have NA in the common columns
unique(is.na(pred |> dplyr::select(all_of(comcol_prey_pred)))) tblUploadID tblHaulID tblPredatorInformationID Ship Gear HaulNo
[1,] FALSE FALSE FALSE FALSE FALSE FALSE
StationNumber Year Month Day Time FishID AphiaIDPredator
[1,] FALSE FALSE FALSE FALSE FALSE FALSE FALSEunique(is.na(prey |> dplyr::select(all_of(comcol_prey_pred)))) tblUploadID tblHaulID tblPredatorInformationID Ship Gear HaulNo
[1,] FALSE FALSE FALSE FALSE FALSE FALSE
StationNumber Year Month Day Time FishID AphiaIDPredator
[1,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE# Remove "Notes" from the prey data to avoid confusion as to which dataset it belongs.
unique(is.na(pred |> dplyr::select(Year, Month, HaulNo, Day, FishID))) Year Month HaulNo Day FishID
[1,] FALSE FALSE FALSE FALSE FALSEunique(is.na(prey |> dplyr::select(Year, Month, HaulNo, Day, FishID))) Year Month HaulNo Day FishID
[1,] FALSE FALSE FALSE FALSE FALSE# alternatively, I can join using the comcol as in the last html I sent. That works for joining, but I still need a globally unique predator ID for my calculations later.
prey <- prey |> rename(prey_notes = Notes) |> mutate(fish_id = paste(Year, Month, HaulNo, Day, FishID, sep = "_"))rename: renamed one variable (prey_notes)mutate: new variable 'fish_id' (character) with 10,591 unique values and 0% NApred <- pred |> mutate(fish_id = paste(Year, Month, HaulNo, Day, FishID, sep = "_"))mutate: new variable 'fish_id' (character) with 14,035 unique values and 0% NAlength(unique(pred$tblPredatorInformationID))[1] 14066length(unique(pred$fish_id))[1] 14035d <- left_join(prey, pred, by = comcol_prey_pred)left_join: added 29 columns (fish_id.x, IndWgt, Number, MeasurementIncrement, pred_length, …) > rows only in x 0 > rows only in y ( 3,465) > matched rows 22,570 > ======== > rows total 22,570# How many unique predators in the prey file that are not in the predator data? 0 now!
pred_in_prey_not_in_pred <- filter(prey, !tblPredatorInformationID %in% unique(pred$tblPredatorInformationID))filter: removed all rows (100%)length(unique(pred_in_prey_not_in_pred$tblPredatorInformationID))[1] 0# Total number of occuring predator ID's in both datasets
length(unique(c(pred$tblPredatorInformationID), unique(prey$tblPredatorInformationID)))[1] 14066No predators that are in the prey file but not in the predator file.
Here is some more information about the predators missing in the prey data. Currently 25%.
# Now the predators missing in the prey data
pred_not_in_prey <- filter(pred, !tblPredatorInformationID %in% unique(prey$tblPredatorInformationID))filter: removed 10,601 rows (75%), 3,465 rows remaining# Not a clear pattern here
pred_not_in_prey |>
distinct(Regurgitated, StomachEmpty, StomachFullness, FullStomWgt, EmptyStomWgt)distinct: removed 3,460 rows (>99%), 5 rows remaining# A tibble: 5 × 5
Regurgitated StomachEmpty StomachFullness FullStomWgt EmptyStomWgt
<dbl> <dbl> <lgl> <lgl> <lgl>
1 1 NA NA NA NA
2 NA 1 NA NA NA
3 2 NA NA NA NA
4 0 1 NA NA NA
5 1 0 NA NA NA prey |> filter(tblPredatorInformationID == pred_not_in_prey$tblPredatorInformationID[1])filter: removed all rows (100%)# A tibble: 0 × 31
# ℹ 31 variables: tblUploadID <dbl>, tblHaulID <dbl>,
# tblPredatorInformationID <dbl>, tblPreyInformationID <dbl>, Ship <chr>,
# Gear <chr>, HaulNo <dbl>, StationNumber <dbl>, Year <dbl>, Month <dbl>,
# Day <dbl>, Time <chr>, FishID <dbl>, AphiaIDPredator <dbl>,
# AphiaIDPrey <dbl>, IdentMet <chr>, DigestionStage <dbl>, GravMethod <chr>,
# SubFactor <dbl>, PreySequence <dbl>, Count <dbl>, UnitWgt <chr>,
# Weight <dbl>, UnitLngt <chr>, prey_length <dbl>, OtherItems <chr>, …write_csv(pred_not_in_prey, paste0(home, "/pred_not_in_prey.csv"))
# Plot the proportion of predator id's that are not in the prey data
pred |>
mutate(present_in_prey = ifelse(tblPredatorInformationID %in% unique(prey$tblPredatorInformationID), "Y", "N")) |>
group_by(Year, present_in_prey) |>
summarise(n = n()) |>
ggplot() +
geom_bar(aes(Year, n, fill = present_in_prey), stat = "identity")mutate: new variable 'present_in_prey' (character) with 2 unique values and 0% NAgroup_by: 2 grouping variables (Year, present_in_prey)summarise: now 44 rows and 3 columns, one group variable remaining (Year)
p1 <- pred_not_in_prey |>
distinct(tblPredatorInformationID, .keep_all = TRUE) |>
ggplot(aes(as.factor(Reporting_organisation))) +
geom_histogram(stat = "count") +
labs(x = "Reporting_organisation", title = "Predator IDs missing in prey data") distinct: no rows removedWarning in geom_histogram(stat = "count"): Ignoring unknown parameters:
`binwidth`, `bins`, and `pad`p2 <- pred_not_in_prey |>
distinct(tblPredatorInformationID, .keep_all = TRUE) |>
ggplot(aes(as.factor(Year))) +
geom_histogram(stat = "count") +
labs(x = "Year")distinct: no rows removedWarning in geom_histogram(stat = "count"): Ignoring unknown parameters:
`binwidth`, `bins`, and `pad`p1 / p2
pred_not_in_prey |> as.data.frame() |> filter(Year == 2018 & Month == 3 & HaulNo == 1 & Day == 7) |> arrange(FishID) |> distinct(fish_id, .keep_all = TRUE)filter: removed 3,451 rows (>99%), 14 rows remainingdistinct: no rows removed tblUploadID tblHaulID tblPredatorInformationID Ship Gear HaulNo
1 8189 3023 30549 26D4 TV3 1
2 8189 3023 30550 26D4 TV3 1
3 8189 3023 30551 26D4 TV3 1
4 8189 3023 30552 26D4 TV3 1
5 8189 3023 30553 26D4 TV3 1
6 8189 3023 30554 26D4 TV3 1
7 8189 3023 30555 26D4 TV3 1
8 8189 3023 29658 26D4 TV3 1
9 8189 3023 29659 26D4 TV3 1
10 8189 3023 29660 26D4 TV3 1
11 8189 3023 29661 26D4 TV3 1
12 8189 3023 29662 26D4 TV3 1
13 8189 3023 29663 26D4 TV3 1
14 8189 3023 29664 26D4 TV3 1
StationNumber Year Month Day Time FishID AphiaIDPredator IndWgt Number
1 2 2018 3 7 0547 7695626 126436 0.4 1
2 2 2018 3 7 0547 7695627 126436 0.6 1
3 2 2018 3 7 0547 7695628 126436 0.5 1
4 2 2018 3 7 0547 7695629 126436 0.5 1
5 2 2018 3 7 0547 7695630 126436 0.2 1
6 2 2018 3 7 0547 7695631 126436 0.2 1
7 2 2018 3 7 0547 7695632 126436 0.1 1
8 2 2018 3 7 0547 7695633 126436 0.0 1
9 2 2018 3 7 0547 7695634 126436 0.1 1
10 2 2018 3 7 0547 7695635 126436 0.0 1
11 2 2018 3 7 0547 7695636 126436 0.0 1
12 2 2018 3 7 0547 7695637 126436 0.0 1
13 2 2018 3 7 0547 7695638 126436 0.0 1
14 2 2018 3 7 0547 7695639 126436 0.0 1
MeasurementIncrement pred_length Code Age Sex MaturityScale MaturityStage
1 1 37 <NA> NA F M6 62
2 1 42 <NA> NA F M6 62
3 1 40 <NA> NA F M6 62
4 1 38 <NA> NA F M6 62
5 1 29 <NA> NA F M6 62
6 1 31 <NA> NA F M6 62
7 1 26 <NA> NA F M6 61
8 1 22 <NA> NA M M6 61
9 1 23 <NA> NA F M6 61
10 1 20 <NA> NA F M6 61
11 1 19 <NA> NA M M6 62
12 1 18 <NA> NA M M6 62
13 1 17 <NA> NA F M6 61
14 1 15 <NA> NA F M6 61
PreservationMethod Regurgitated StomachFullness FullStomWgt EmptyStomWgt
1 FRZND 1 NA NA NA
2 FRZND 1 NA NA NA
3 FRZND 1 NA NA NA
4 FRZND 1 NA NA NA
5 FRZND 1 NA NA NA
6 FRZND 1 NA NA NA
7 FRZND 1 NA NA NA
8 FRZND 1 NA NA NA
9 FRZND 1 NA NA NA
10 FRZND 1 NA NA NA
11 FRZND 1 NA NA NA
12 FRZND 1 NA NA NA
13 FRZND 1 NA NA NA
14 FRZND 1 NA NA NA
StomachEmpty GenSamp ShootLat ShootLong HaulLat HaulLong ICESrectangle Depth
1 0 N 55.7819 17.6968 55.8055 17.6812 40G7 57
2 0 N 55.7819 17.6968 55.8055 17.6812 40G7 57
3 0 N 55.7819 17.6968 55.8055 17.6812 40G7 57
4 0 N 55.7819 17.6968 55.8055 17.6812 40G7 57
5 0 N 55.7819 17.6968 55.8055 17.6812 40G7 57
6 0 N 55.7819 17.6968 55.8055 17.6812 40G7 57
7 0 N 55.7819 17.6968 55.8055 17.6812 40G7 57
8 0 N 55.7819 17.6968 55.8055 17.6812 40G7 57
9 0 N 55.7819 17.6968 55.8055 17.6812 40G7 57
10 0 N 55.7819 17.6968 55.8055 17.6812 40G7 57
11 0 N 55.7819 17.6968 55.8055 17.6812 40G7 57
12 0 N 55.7819 17.6968 55.8055 17.6812 40G7 57
13 0 N 55.7819 17.6968 55.8055 17.6812 40G7 57
14 0 N 55.7819 17.6968 55.8055 17.6812 40G7 57
Survey ICESDatabase Country Reporting_organisation CruiseID
1 BITS Y DK 2195 DK219526D42018
2 BITS Y DK 2195 DK219526D42018
3 BITS Y DK 2195 DK219526D42018
4 BITS Y DK 2195 DK219526D42018
5 BITS Y DK 2195 DK219526D42018
6 BITS Y DK 2195 DK219526D42018
7 BITS Y DK 2195 DK219526D42018
8 BITS Y DK 2195 DK219526D42018
9 BITS Y DK 2195 DK219526D42018
10 BITS Y DK 2195 DK219526D42018
11 BITS Y DK 2195 DK219526D42018
12 BITS Y DK 2195 DK219526D42018
13 BITS Y DK 2195 DK219526D42018
14 BITS Y DK 2195 DK219526D42018
fish_id
1 2018_3_1_7_7695626
2 2018_3_1_7_7695627
3 2018_3_1_7_7695628
4 2018_3_1_7_7695629
5 2018_3_1_7_7695630
6 2018_3_1_7_7695631
7 2018_3_1_7_7695632
8 2018_3_1_7_7695633
9 2018_3_1_7_7695634
10 2018_3_1_7_7695635
11 2018_3_1_7_7695636
12 2018_3_1_7_7695637
13 2018_3_1_7_7695638
14 2018_3_1_7_7695639length(unique(pred_not_in_prey$tblPredatorInformationID))[1] 3465unique(pred_not_in_prey$tblPredatorInformationID) [1] 15894 15919 15924 15925 15927 15931 15938 15943 15951 15972 15973 16002
[13] 16004 16007 16013 16015 16016 16019 16096 16098 16103 16118 16125 16128
[25] 16129 16130 16131 16133 16134 16137 16144 16145 16147 16153 16159 16160
[37] 16164 16167 16168 16169 16170 16174 16179 16181 16182 16199 16200 16202
[49] 16206 16211 16212 16213 16214 16215 16229 16230 16234 16244 16246 16249
[61] 16252 16254 16257 16258 16259 16262 16263 16270 16275 16276 16283 16296
[73] 16300 16302 16304 16324 16331 16339 16362 16371 16378 16381 16395 16402
[85] 16428 16429 16438 16442 16443 16448 16451 16452 16454 16456 16461 16462
[97] 16466 16468 16470 16472 16496 16497 16505 16506 16507 16508 16509 16512
[109] 16515 16516 16517 16520 16521 16543 16547 16564 16582 16585 16589 16590
[121] 16603 16771 16779 28290 28293 28297 28298 28299 28300 28301 28303 28304
[133] 28305 28307 28314 28315 28318 28319 28320 28324 28333 28336 28340 28345
[145] 28347 28349 28356 28357 28360 28364 28365 28368 28376 28377 28378 28380
[157] 28383 28384 28385 28387 28389 28393 28395 28396 28399 28401 28407 28411
[169] 28412 28424 28426 28429 28430 28432 28433 28435 28437 28438 28444 28445
[181] 28448 28458 28459 28460 28461 28463 28465 28466 28473 28479 28483 28486
[193] 28489 28511 28520 28521 28532 28549 28550 28551 28556 28557 28558 28559
[205] 28560 28562 28565 28566 28574 28578 28579 28580 28583 28585 28586 28588
[217] 28589 28590 28594 28595 28596 28599 28600 28601 28603 28606 28607 28608
[229] 28609 28611 28612 28613 28615 28616 28617 28618 28622 28625 28628 28633
[241] 28634 28635 28636 28639 28640 28650 28651 28652 28654 28655 28657 28658
[253] 28659 28661 28663 28664 28667 28669 28671 28674 28675 28676 28677 28678
[265] 28679 28683 28684 28685 28687 28690 28691 28695 28697 28702 28706 28707
[277] 28708 28710 28735 28737 28738 28739 28742 28747 28748 28756 28759 28761
[289] 28764 28767 28769 28771 28772 28783 28787 28788 28798 28804 28813 28815
[301] 28818 28819 28820 28828 28840 28841 28845 28846 28866 28867 28869 28870
[313] 28884 28888 28891 28895 28897 28898 28899 28900 28902 28904 28907 28908
[325] 28911 28914 28926 28932 28945 28946 28952 28953 28954 28956 28960 28977
[337] 28978 28983 28984 28991 28993 28995 29007 29021 29023 29025 29026 29031
[349] 29035 29037 29043 29049 29052 29053 29054 29059 29060 29063 29064 29067
[361] 29069 29071 29072 29073 29074 29075 29077 29078 29080 29092 29094 29099
[373] 29105 29114 29118 29124 29129 29130 29131 29132 29134 29137 29138 29139
[385] 29141 29155 29169 29178 29191 29193 29194 29201 29202 29206 29208 29216
[397] 29224 29228 29231 29241 29242 29249 29251 29253 29259 29265 29268 29271
[409] 29272 29276 29284 29288 29293 29295 29300 29306 29309 29311 29314 29317
[421] 29319 29322 29326 29328 29331 29332 29336 29340 29341 29342 29344 29350
[433] 29354 29357 29362 29370 29372 29380 29381 29386 29388 29391 29392 29393
[445] 29402 29408 29409 29410 29416 29424 29425 29428 29432 29435 29438 29439
[457] 29442 29443 29446 29447 29449 29450 29451 29452 29455 29457 29470 29474
[469] 29475 29476 29486 29487 29488 29489 29490 29491 29492 29497 29502 29503
[481] 29506 29513 29517 29520 29532 29533 29535 29536 29539 29542 29544 29545
[493] 29547 29551 29552 29557 29562 29572 29573 29574 29576 29577 29581 29582
[505] 29584 29585 29587 29589 29590 29591 29592 29593 29595 29596 29598 29599
[517] 29600 29601 29603 29604 29605 29607 29608 29609 29610 29613 29616 29617
[529] 29619 29620 29623 29625 29627 29628 29629 29631 29632 29633 29639 29642
[541] 29645 29648 29651 29652 29654 29658 29659 29660 29661 29662 29663 29664
[553] 29665 29666 29667 29669 29670 29671 29672 29675 29679 29680 29685 29688
[565] 29689 29692 29693 29694 29696 29697 29698 29699 29700 29701 29705 29707
[577] 29715 29716 29717 29718 29719 29720 29721 29724 29725 29726 29727 29728
[589] 29730 29744 29745 29746 29747 29748 29749 29750 29751 29752 29753 29754
[601] 29755 29756 29759 29760 29762 29763 29764 29765 29767 29768 29770 29773
[613] 29774 29783 29789 29792 29793 29794 29795 29796 29797 29798 29799 29800
[625] 29801 29803 29805 29806 29807 29808 29809 29811 29814 29815 29816 29817
[637] 29818 29832 29833 29835 29836 29837 29838 29839 29840 29841 29842 29843
[649] 29844 29845 29846 29849 29854 29865 29866 29868 29869 29871 29872 29873
[661] 29874 29876 29878 29879 29880 29884 29885 29886 29887 29888 29889 29890
[673] 29891 29894 29895 29899 29903 29904 29905 29906 29907 29908 29909 29924
[685] 29925 29926 29927 29928 29929 29930 29934 29938 29941 29948 29949 29952
[697] 29970 29971 29973 29974 29975 29977 29978 29979 29980 29981 29983 29986
[709] 30008 30009 30010 30011 30013 30014 30015 30016 30017 30018 30033 30034
[721] 30035 30036 30037 30038 30040 30042 30045 30046 30047 30048 30049 30050
[733] 30066 30067 30068 30072 30073 30074 30075 30076 30078 30080 30083 30094
[745] 30096 30099 30100 30101 30102 30103 30104 30105 30106 30107 30108 30109
[757] 30123 30124 30125 30126 30128 30130 30131 30132 30133 30134 30135 30136
[769] 30137 30138 30141 30142 30145 30151 30156 30159 30160 30165 30173 30177
[781] 30179 30182 30188 30189 30190 30194 30196 30201 30202 30203 30206 30209
[793] 30211 30212 30213 30215 30216 30218 30220 30221 30224 30225 30226 30227
[805] 30229 30230 30231 30233 30237 30238 30241 30242 30243 30245 30247 30251
[817] 30252 30253 30254 30255 30257 30260 30262 30263 30264 30270 30275 30279
[829] 30290 30292 30294 30295 30296 30297 30298 30300 30303 30306 30307 30313
[841] 30314 30318 30320 30321 30322 30327 30329 30331 30332 30333 30334 30338
[853] 30342 30344 30347 30348 30351 30353 30354 30361 30362 30363 30364 30371
[865] 30373 30374 30375 30381 30382 30383 30396 30398 30400 30402 30403 30407
[877] 30415 30420 30421 30423 30433 30439 30444 30448 30451 30452 30453 30455
[889] 30459 30464 30467 30470 30485 30491 30492 30493 30494 30495 30497 30498
[901] 30513 30514 30515 30530 30532 30533 30534 30536 30537 30538 30539 30549
[913] 30550 30551 30552 30553 30554 30555 31525 31527 31538 31539 31540 31541
[925] 31542 31543 31544 31546 31549 31550 31551 31553 31554 31556 31558 31561
[937] 31562 31565 31571 31575 31585 31586 31587 31588 31593 31594 31595 31597
[949] 31598 31611 31613 31614 31615 31616 31617 31618 31619 31620 31621 31622
[961] 31623 31624 31625 31626 31627 31628 31631 31636 31638 31639 31641 31642
[973] 31643 31644 31645 31646 31647 31650 31651 31652 31653 31654 31655 31656
[985] 31657 31666 31668 31669 31670 31673 31674 31677 31678 31679 31683 31689
[997] 31690 31692 31696 31698 31702 31703 31705 31706 31707 31708 31710 31712
[1009] 31713 31715 31717 31718 31719 31721 31723 31724 31725 31728 31730 31731
[1021] 31733 31734 31735 31736 31737 31738 31739 31742 31744 31748 31749 31750
[1033] 31751 31752 31753 31754 31755 31758 31759 31762 31763 31764 31765 31768
[1045] 31770 31771 31772 31773 31774 31779 31780 31782 31783 31784 31785 31797
[1057] 31799 31802 31806 31807 31809 31812 31813 31815 31817 31818 31819 31821
[1069] 31825 31826 31829 31832 31836 31838 31840 31844 31846 31847 31851 31852
[1081] 31853 31854 31855 31856 31859 31860 31863 31864 31865 31867 31868 31869
[1093] 31870 31872 31873 31880 31882 31883 31884 31887 31891 31893 31895 31896
[1105] 31897 31900 31901 31904 31907 31911 31912 31914 31915 31916 31919 31921
[1117] 31922 31923 31924 31926 31927 31928 31941 31942 31943 31944 31945 31946
[1129] 31947 31949 31950 31951 31952 31953 31954 31955 31956 31957 31958 31960
[1141] 31961 31962 31964 31965 31967 31968 31969 31971 31972 31973 31976 31977
[1153] 31983 31984 31987 31989 31990 31991 31992 31993 31995 31997 31998 31999
[1165] 32000 32001 32004 32005 32009 32010 32011 32014 32015 32016 32018 32019
[1177] 32023 32024 32027 32028 32029 32030 32031 32039 32040 32042 32043 32063
[1189] 32064 32065 32066 32067 32069 32070 32071 32072 32073 32074 32075 32076
[1201] 32080 32082 32086 32088 32089 32090 32091 32095 32096 32099 32100 32101
[1213] 32102 32105 32106 32108 32109 32111 32112 32121 32123 32126 32127 32131
[1225] 32134 32139 32141 32142 32143 32146 32147 32148 32149 32150 32151 32152
[1237] 32153 32159 32160 32161 32164 32167 32183 32184 32185 32186 32187 32188
[1249] 32189 32190 32191 32192 32193 32194 32195 32196 32200 32201 32205 32209
[1261] 32210 32214 32216 32218 32220 32221 32223 32224 32228 32230 32232 32233
[1273] 32234 32237 32238 32242 32243 32244 32245 32247 32252 32256 32257 32258
[1285] 32259 32261 32262 32263 32264 32266 32267 32269 32270 32271 32273 32274
[1297] 32275 32276 32278 32280 32281 32282 32284 32285 32287 32291 32294 32300
[1309] 32301 32302 32305 32306 32309 32311 32319 32322 32324 32326 32330 32334
[1321] 32335 32337 32338 32341 32343 32347 32348 32355 32358 32359 32366 32378
[1333] 32380 32382 32388 32397 32412 32413 32414 32419 32421 32423 32424 32425
[1345] 32426 32427 32428 32429 32430 32431 32432 32433 32436 32437 32438 32439
[1357] 32440 32637 32643 32645 32647 32652 32663 32671 32677 32678 32684 32685
[1369] 32686 32691 32700 32737 32738 32743 32744 32745 32758 32759 32760 32761
[1381] 32762 32763 32765 32766 32768 32772 32773 32774 32777 32779 32780 32781
[1393] 32784 32788 32789 32791 32799 32802 32804 32805 32808 32809 32810 32811
[1405] 32815 32817 32818 32822 32823 32824 32827 32832 32833 32834 32835 42319
[1417] 42328 42336 42342 42346 42350 42352 42354 42355 42358 42364 42365 42367
[1429] 42369 42370 42374 42380 42383 42384 42385 42386 42387 42389 42399 42402
[1441] 42405 42415 42416 42417 42420 42435 42436 42438 42439 42448 42454 42467
[1453] 42470 42478 42488 42489 42493 42496 42502 42505 42506 42508 42512 42518
[1465] 42519 42528 42529 42530 42539 42543 42544 42546 42547 42553 42555 42559
[1477] 42565 42566 42567 42568 42569 42570 42571 42575 42585 42586 42587 42589
[1489] 42591 42594 42597 42600 42602 42637 42638 42644 42646 42659 42661 42663
[1501] 42666 42669 42670 42672 42674 42675 42677 42680 42682 42689 42695 42697
[1513] 42698 42714 42715 42732 42734 42738 42740 42741 42743 42744 42747 42757
[1525] 42766 42777 42778 42791 42798 42801 42804 42808 42810 42818 42821 42825
[1537] 42834 42835 42836 42837 42864 42885 42898 42899 42901 42911 42938 42940
[1549] 42949 42950 42958 42961 42964 42965 42995 43021 43023 43030 43034 43046
[1561] 43061 43062 43068 43074 43088 43092 43094 43097 43111 43143 43152 43172
[1573] 43177 43179 43180 43184 43186 43196 43211 43215 43234 43271 43275 43279
[1585] 43286 43292 43295 43297 43300 43305 43307 43309 43312 43321 43323 43327
[1597] 43331 43332 43333 43335 43336 43343 43345 43346 43347 43348 43350 43351
[1609] 43356 43358 43359 43364 43365 43368 43372 43376 43377 43388 43389 43392
[1621] 43408 43409 43422 43424 43429 43432 43433 43442 43443 43446 43449 43450
[1633] 43456 43462 43467 43468 43469 43470 43471 43472 43475 43476 43478 43480
[1645] 43482 43488 43493 43495 43504 43510 43511 43515 43531 43534 43541 43546
[1657] 43554 43563 43579 43581 43582 43586 43592 43593 43598 43603 43609 43624
[1669] 43627 43628 43635 43636 43639 43640 43643 43645 43647 43648 43649 43650
[1681] 43652 43653 43654 43655 43656 43657 43659 43660 43663 43665 43666 43668
[1693] 43670 43671 43673 43675 43676 43678 43679 43680 43681 43682 43683 43684
[1705] 43686 43691 43692 43694 43696 43705 43708 43711 43712 43718 43721 43725
[1717] 43727 43732 43737 43742 43749 43760 43783 43787 43788 43811 43830 43833
[1729] 43844 43847 43851 43853 43869 43872 43901 43904 43905 43906 43916 43918
[1741] 43920 43931 43935 43936 43937 43938 43939 43940 43959 43962 43968 43976
[1753] 43978 43982 43983 43984 43986 43988 43992 43994 43995 44002 44003 44006
[1765] 44009 44014 44017 44020 44023 44024 44026 44028 44029 44031 44033 44035
[1777] 44037 44039 44059 44063 44067 44070 44071 44072 44075 44080 44081 44087
[1789] 44088 44094 44098 44099 44102 44103 44105 44106 44107 44109 44110 44112
[1801] 44114 44117 44121 44123 44129 44131 44134 44137 44141 44166 44167 44169
[1813] 44170 44171 44173 44174 44177 44179 44180 44181 44182 44184 44186 44190
[1825] 44192 44193 44194 44202 44215 44219 44222 44223 44226 44228 44230 44233
[1837] 44235 44244 44261 44268 44270 44271 44272 44283 44292 44293 44295 44297
[1849] 44300 44303 44304 44307 44310 44320 44322 44325 44329 44334 44335 44336
[1861] 44341 44352 44356 44360 44368 44373 44381 44382 44387 44390 44394 44396
[1873] 44397 44404 44409 44410 44411 44412 44414 44416 44417 44420 44423 44429
[1885] 44430 44432 44433 44434 44436 44490 44495 44497 44498 44499 44505 44510
[1897] 44512 44514 44515 44516 44518 44519 44523 44526 44528 44531 44536 44540
[1909] 44541 44545 44546 44547 44549 44554 44555 44564 44566 44574 44585 44587
[1921] 44588 44589 44590 44591 44592 44593 44595 44599 44609 44619 44640 44659
[1933] 44663 44675 44676 44677 44683 44687 44689 44694 44699 44701 44703 44705
[1945] 44706 44707 44709 44710 44712 44713 44718 44719 44722 44723 44727 44729
[1957] 44730 44733 44734 44736 44737 44739 44743 44745 44746 44748 44750 44751
[1969] 44753 44755 44765 44771 44773 44786 44788 44804 44809 44812 44813 44817
[1981] 44818 44819 44820 44824 44825 44830 44835 44837 44853 44855 44864 44870
[1993] 44874 44876 44878 44882 44884 44885 44887 44891 44893 44894 44898 44899
[2005] 44900 44901 44902 44904 44906 44907 44908 44917 44920 44921 44923 44924
[2017] 44925 44928 44932 44934 44935 44939 44957 44959 44960 44962 44963 44966
[2029] 44967 44973 44975 44976 44984 44985 44990 44994 44995 44996 44999 45006
[2041] 45007 45008 45012 45015 45016 45020 45024 45027 45029 45037 45040 45044
[2053] 45053 45059 45061 45068 45069 45075 45076 45079 45082 45087 45088 45098
[2065] 45105 45106 45107 45110 45111 45113 45116 45119 45120 45126 45127 45128
[2077] 45129 45130 45133 45134 45136 45145 45147 45149 45152 45153 45155 45158
[2089] 45164 45186 45187 45188 45191 45202 45210 45214 45224 45237 45244 45246
[2101] 45247 45250 45252 45253 45268 45281 45288 45310 45317 45321 45323 45324
[2113] 45333 45340 45344 45349 45358 45362 45364 45366 45374 45376 45381 45391
[2125] 45392 45406 45411 45426 45429 45430 45433 45436 45437 45449 45455 45456
[2137] 45457 45459 45461 45464 45467 45468 45476 45488 45493 45494 45496 45498
[2149] 45506 45517 45522 45533 45534 45535 45536 45539 45540 45541 45544 45545
[2161] 45546 45547 45548 45549 45550 45551 45552 45553 45554 45555 45557 45562
[2173] 45565 45566 45567 45568 45570 45571 45574 45579 45581 45582 45583 45584
[2185] 45585 45586 45587 45588 45590 45591 45594 45597 45598 45600 45603 45604
[2197] 45608 45613 45614 45615 45620 45626 45633 45635 45639 45647 45650 45651
[2209] 45653 45654 45663 45668 45669 45671 45678 45680 45687 45702 45704 45711
[2221] 45713 45716 45722 45724 45725 45726 45733 45736 45738 45746 45748 45749
[2233] 45752 45757 45762 45766 45782 45783 45785 45786 45787 45788 45796 45806
[2245] 45808 45818 45819 45822 45826 45828 45829 45830 45833 45835 45839 45842
[2257] 45849 45850 45851 45853 45856 45858 45860 45863 45864 45867 45871 45872
[2269] 45873 45874 45876 45888 45901 45907 45909 45911 45913 45915 45917 45919
[2281] 45920 45923 45925 45926 45928 45935 45944 45945 45952 45953 45963 45964
[2293] 45968 45977 45997 45998 46004 46009 46019 46023 46025 46027 46028 46032
[2305] 46033 46037 46039 46042 46046 46048 46051 46052 46058 46063 46065 46077
[2317] 46082 46084 46088 46095 46097 46107 46121 46140 46145 46154 46155 46160
[2329] 46170 46181 46200 46201 46202 46203 46205 46207 46211 46212 46214 46215
[2341] 46216 46220 46227 46235 46247 46248 46259 46270 46275 46311 46328 46351
[2353] 46380 46381 46383 46384 46386 46389 46390 46391 46392 46393 46394 46395
[2365] 46396 46398 46399 46400 46401 46402 46403 46404 46406 46407 46408 46411
[2377] 46413 46415 46416 46417 46418 46419 46421 46422 46425 46428 46429 46430
[2389] 46431 46432 46433 46435 46438 46448 46462 46485 46508 46527 46531 46534
[2401] 46535 46537 46539 46542 46545 46555 46570 46578 46596 46600 46601 46612
[2413] 46614 46618 46622 46626 46639 46650 46651 46652 46654 46657 46673 46676
[2425] 46694 46699 46701 46707 46711 46715 46718 46726 46727 46742 46746 46758
[2437] 46770 46778 46781 46787 46796 46804 46806 46807 46813 46819 46820 46821
[2449] 46823 46824 46825 46826 46829 46830 46833 46834 46846 46901 46905 46909
[2461] 46915 46916 46920 46921 46923 46931 46935 46951 46957 46962 46965 46973
[2473] 46978 46979 46985 46989 46990 46992 46993 46994 46995 46997 47001 47004
[2485] 47005 47015 47016 47029 47032 47033 47034 47051 47053 47057 47060 47064
[2497] 47071 47078 47084 47089 47094 47098 47108 47111 47113 47131 47132 47149
[2509] 47156 47163 47164 47166 47190 47207 47214 47215 47228 47240 47261 47265
[2521] 47269 47308 47314 47328 47331 47333 47335 47337 47338 47340 47342 47346
[2533] 47347 47348 47350 47351 47353 47359 47360 47365 47369 47371 47373 47374
[2545] 47382 47385 47388 47390 47393 47394 47397 47404 47405 47408 47411 47413
[2557] 47416 47417 47420 47421 47422 47423 47427 47428 47430 47433 47439 47441
[2569] 47442 47450 47453 47460 47463 47469 47472 47473 47479 47486 47500 47513
[2581] 47516 47517 47523 47527 47528 47529 47531 47534 47540 47542 47544 47549
[2593] 47551 47555 47556 47557 47559 47560 47565 47566 47570 47571 47572 47574
[2605] 47576 47577 47579 47589 47596 47597 47599 47601 47603 47608 47610 47611
[2617] 47612 47615 47619 47622 47630 47631 47636 47637 47638 47639 47640 47651
[2629] 47652 47653 47654 47655 47656 47657 47661 47663 47674 47677 47678 47681
[2641] 47692 47693 47695 47697 47698 47699 47701 47704 47709 47710 47713 47714
[2653] 47715 47716 47717 47724 47727 47728 47734 47735 47738 47739 47741 47742
[2665] 47744 47746 47747 47748 47749 47754 47755 47757 47758 47762 47766 47771
[2677] 47785 47787 47788 47804 47805 47810 47812 47828 47834 47838 47850 47854
[2689] 47856 47859 47860 47863 47868 47872 47874 47879 47883 47885 47889 47892
[2701] 47893 47896 47897 47902 47903 47905 47906 47908 47917 47918 47927 47934
[2713] 47947 47950 47952 47955 47961 47962 47964 47965 47968 47969 47972 47973
[2725] 47976 47977 47979 47980 47985 47987 47993 48002 48007 48010 48016 48017
[2737] 48020 48021 48022 48023 48024 48025 48026 48027 48028 48049 48053 48054
[2749] 48063 48064 48065 48080 48082 48086 48087 48089 48093 48097 48104 48105
[2761] 48133 48146 48149 48153 48159 48162 48169 48175 48176 48177 48187 48189
[2773] 48193 48195 48197 48200 48202 48207 48208 48220 48227 48233 48237 48244
[2785] 48246 48251 48252 48263 48272 48279 48280 48284 48286 48291 48292 48298
[2797] 48299 48300 48301 48309 48314 48315 48321 48322 48332 48334 48335 48344
[2809] 48345 48349 48354 48358 48364 48368 48369 48401 48402 48411 48412 48415
[2821] 48420 48421 48422 48424 48425 48429 48431 48434 48465 48473 48496 48499
[2833] 48513 48516 48517 48518 48519 48522 48523 48525 48528 48530 48531 48532
[2845] 48534 48538 48539 48542 48544 48548 48549 48550 48552 48557 48567 48569
[2857] 48571 48573 48575 48576 48578 48579 48585 48586 48588 48591 48592 48593
[2869] 48596 48598 48599 48600 48601 48603 48604 48606 48607 48609 48615 48617
[2881] 48620 48621 48623 48627 48629 48633 48636 48641 48645 48647 48650 48654
[2893] 48674 48679 48683 48686 48687 48700 48705 48706 48709 48713 48715 48716
[2905] 48717 48719 48720 48723 48725 48731 48733 48744 48755 48759 48760 48761
[2917] 48765 48768 48769 48774 48775 48776 48777 48780 48781 48788 48792 48793
[2929] 48795 48797 48799 48802 48803 48849 48865 48867 48875 48878 48883 48885
[2941] 48891 48894 48896 48897 48900 48906 48917 48921 48926 48931 48936 48938
[2953] 48940 48946 48947 48956 48961 48962 48966 48969 48971 48974 48982 48986
[2965] 48988 48989 48998 49002 49004 49008 49013 49019 49024 49030 49065 49072
[2977] 49079 49088 49090 49109 49115 49116 49124 49127 49128 49149 49154 49162
[2989] 49169 49220 49230 49231 49244 49254 49257 49275 49277 49278 49284 49286
[3001] 49302 49313 49314 49323 49326 49348 49352 49356 49362 49369 49372 49388
[3013] 49389 49390 49394 49399 49414 49415 49419 49420 49423 49425 49430 49436
[3025] 49437 49442 49451 49452 49456 49457 49459 49460 49461 49468 49477 49494
[3037] 49496 49504 49506 49510 49516 49517 49518 49519 49520 49521 49522 49528
[3049] 49533 49535 49536 49538 49540 49541 49542 49544 49546 49547 49554 49555
[3061] 49556 49558 49559 49560 49562 49563 49566 49577 49579 49581 49586 49606
[3073] 49616 49628 49631 49640 49654 49661 49664 49675 49685 49687 49689 49697
[3085] 49698 49700 49727 49733 49735 49736 49739 49744 49745 49748 49757 49759
[3097] 49762 49763 49767 49776 49799 49807 49808 49813 49815 49825 49831 49834
[3109] 49837 49846 49850 49856 49858 49861 49864 49875 49885 49901 49907 49912
[3121] 49916 49923 49924 49925 49926 49927 49933 49936 49943 49953 49956 49962
[3133] 49970 49974 49975 49976 49977 49979 49980 49983 49985 49989 49993 49994
[3145] 49995 50007 50026 50029 50033 50035 50043 50047 50049 50055 50057 50060
[3157] 50064 50065 50070 50077 50083 50089 50096 50098 50099 50101 50103 50107
[3169] 50126 50127 50128 50133 50135 50144 50145 50148 50162 50167 50179 50180
[3181] 50189 50191 50192 50194 50196 50199 50204 50205 50208 50209 50220 50221
[3193] 50223 50229 50231 50236 50239 50241 50245 50249 50250 50252 50266 50270
[3205] 50273 50284 50285 50289 50303 50306 50307 50308 50311 50312 50313 50315
[3217] 50317 50320 50321 50323 50328 50331 50334 50337 50338 50340 50341 50351
[3229] 50354 50367 50374 50376 50381 50382 50394 50395 50398 50400 50403 50414
[3241] 50415 50417 50419 50420 50423 50424 50429 50430 50431 50432 50454 50463
[3253] 50468 50469 50471 50475 50478 50482 50484 50487 50493 50496 50498 50500
[3265] 50512 50516 50519 50521 50523 50525 50526 50528 50539 50549 50551 50552
[3277] 50554 50567 50635 50636 50653 50658 50664 50668 50676 50680 50681 50687
[3289] 50689 50691 50693 50704 50712 50716 50719 50735 50736 50741 50752 50757
[3301] 50760 50763 50764 50775 50786 50793 50796 50797 50801 50802 50803 50818
[3313] 50823 50829 50833 50836 50848 50855 50860 50873 50874 50881 50885 50886
[3325] 50888 50902 50906 50916 50926 50934 50935 50939 50942 50961 50962 50964
[3337] 50991 50998 51009 51016 51035 51039 51042 51043 51046 51048 51050 51052
[3349] 51053 51056 51057 51061 51063 51074 51075 51081 51083 51085 51088 51095
[3361] 51102 51105 51110 51114 51116 51125 51170 51176 51182 51183 51187 51191
[3373] 51197 51201 51204 51210 51211 51217 51222 51223 51225 51227 51228 51229
[3385] 51237 51243 51251 51262 51264 51269 51274 51275 51278 51279 51283 51303
[3397] 51306 51313 51329 51332 51336 51351 51362 51365 51373 51376 51377 51397
[3409] 51411 51418 51433 51440 51442 51448 51450 51452 51457 51461 51463 51491
[3421] 51496 51497 51541 51542 51544 51546 51557 51563 51570 51571 51572 51573
[3433] 51574 51576 51577 51579 51580 51583 51584 51586 51587 51588 51589 51591
[3445] 51594 51596 51601 51607 51608 51610 51611 51613 51614 51615 51617 51621
[3457] 51623 51624 51632 51633 51637 51647 51648 51655 51656unique(pred_not_in_prey$tblUploadID) [1] 8175 8177 8184 8185 8186 8187 8188 8189 8191 8194 8210 8211 8212 8213 8214
[16] 8215 8216 8217 8218 8219 8220 8221 8222 8223 8224unique(pred_not_in_prey$Reporting_organisation)[1] 194 4484 3140 2195# 3140 Institute of Food Safety, Animal Health and Environment (BIOR) EDMO False 2015-02-06 2022-08-30
# 194 National Marine Fisheries Research Institute (NMFRI) EDMO False 2015-02-06 2021-12-22
# 2195 DTU Aqua, National Institute of Aquatic Resources, Technical University of Denmark
# 4484 Swedish University of Agricultural Sciences, Department of Aquatic Resources (SLU) EDMO False 2016-02-11 2022-11-12 Inspect data
Check to see how many predators I have by country and year, to see how much is missing. Because we can’t match them perfectly, I will drop rows that couldn’t be matched in the predator data, using the predator-specific pred_length column
# By year and country from years => 1993
d |>
drop_na(pred_length) |>
distinct(tblPredatorInformationID, .keep_all = TRUE) |>
group_by(Country, Year) |>
summarise(n = n()) |>
arrange(Year, Country)drop_na: no rows removeddistinct: removed 11,969 rows (53%), 10,601 rows remaininggroup_by: 2 grouping variables (Country, Year)summarise: now 24 rows and 3 columns, one group variable remaining (Country)# A tibble: 24 × 3
# Groups: Country [4]
Country Year n
<chr> <dbl> <int>
1 LV 1993 213
2 LV 1994 143
3 LV 1995 232
4 LV 1996 222
5 LV 1997 135
6 LV 1998 149
7 LV 1999 572
8 LV 2000 447
9 LV 2001 431
10 LV 2002 390
# ℹ 14 more rows# By year and country from years => 2017
d |>
drop_na(pred_length) |>
distinct(tblPredatorInformationID, .keep_all = TRUE) |>
filter(Year > 2017) |>
group_by(Country, Year) |>
summarise(n = n()) |>
arrange(Year, Country)drop_na: no rows removeddistinct: removed 11,969 rows (53%), 10,601 rows remainingfilter: removed 8,390 rows (79%), 2,211 rows remaininggroup_by: 2 grouping variables (Country, Year)summarise: now 4 rows and 3 columns, one group variable remaining (Country)# A tibble: 4 × 3
# Groups: Country [3]
Country Year n
<chr> <dbl> <int>
1 DK 2018 528
2 DK 2021 480
3 PL 2021 582
4 SE 2021 621# Total sample size from years => 1993
d |>
drop_na(pred_length) |>
distinct(tblPredatorInformationID, .keep_all = TRUE) |>
summarise(n = n())drop_na: no rows removeddistinct: removed 11,969 rows (53%), 10,601 rows remainingsummarise: now one row and one column, ungrouped# A tibble: 1 × 1
n
<int>
1 10601# Total sample size from years => 2017
d |>
drop_na(pred_length) |>
distinct(tblPredatorInformationID, .keep_all = TRUE) |>
filter(Year > 2017) |>
summarise(n = n())drop_na: no rows removeddistinct: removed 11,969 rows (53%), 10,601 rows remainingfilter: removed 8,390 rows (79%), 2,211 rows remainingsummarise: now one row and one column, ungrouped# A tibble: 1 × 1
n
<int>
1 2211[We are supposed to have 6128 samples from 2017 and onwards, according to Table A3 in the interim report. We have 2211, which is only 36% of the promised new data.
Now let’s have a look at stomach contents.
Calculating total weight of specific prey species by unique predator ID
Because of the mismatch in predator ID’s, we will filter the combined dataframe to only have the IDs that are present in both dataframes. This is currently 25 % of data!
pred <- pred |> filter(tblPredatorInformationID %in% unique(prey$tblPredatorInformationID)) # this removes predators not in the prey datafilter: removed 3,465 rows (25%), 10,601 rows remainingNext we need to summarize our prey weights by predator and prey group. First filter stomachs where these prey are present. Create a new common name column to make life easier…
sort(unique(d$AphiaIDPrey)) [1] 51 105 882 883 1066 1078 1135 1248 11676 101063
[11] 101156 101160 101406 101537 101744 102101 102292 103068 103077 103079
[21] 103251 104241 104517 104878 106674 106782 107032 107552 107613 107614
[31] 110487 119034 119039 119822 120113 120120 120136 125464 125516 125537
[41] 125716 125999 126417 126425 126436 126450 126505 126736 126752 126916
[51] 126928 126996 127023 127123 127141 127203 127204 130735 138081 138999
[61] 140430 140480 141579 149668 152302 152352 234024 293511 326114d |> filter(AphiaIDPrey == 293567)filter: removed all rows (100%)# A tibble: 0 × 59
# ℹ 59 variables: tblUploadID <dbl>, tblHaulID <dbl>,
# tblPredatorInformationID <dbl>, tblPreyInformationID <dbl>, Ship <chr>,
# Gear <chr>, HaulNo <dbl>, StationNumber <dbl>, Year <dbl>, Month <dbl>,
# Day <dbl>, Time <chr>, FishID <dbl>, AphiaIDPredator <dbl>,
# AphiaIDPrey <dbl>, IdentMet <chr>, DigestionStage <dbl>, GravMethod <chr>,
# SubFactor <dbl>, PreySequence <dbl>, Count <dbl>, UnitWgt <chr>,
# Weight <dbl>, UnitLngt <chr>, prey_length <dbl>, OtherItems <chr>, …#| message: false
selected_prey_present <- d |>
mutate(common_prey_name = NA,
common_prey_name = ifelse(AphiaIDPrey %in% c(293743, 1625944, 126425, 322683, 236448), "sprat", common_prey_name),
common_prey_name = ifelse(AphiaIDPrey == 126417, "herring", common_prey_name),
common_prey_name = ifelse(AphiaIDPrey %in% c(293511, 119034), "saduria", common_prey_name)) |>
filter(common_prey_name %in% c("sprat", "herring", "saduria"))mutate: new variable 'common_prey_name' (character) with 4 unique values and 59% NAfilter: removed 13,358 rows (59%), 9,212 rows remainingCheck how many predators have these prey in stomachs
length(unique(selected_prey_present$tblPredatorInformationID))[1] 5186length(unique(d$tblPredatorInformationID))[1] 10601length(unique(selected_prey_present$tblPredatorInformationID)) / length(unique(d$tblPredatorInformationID))[1] 0.4891991# Now do recent data
length(unique(filter(selected_prey_present, Year > 2016)$tblPredatorInformationID))[1] 900length(unique(filter(d, Year > 2016)$tblPredatorInformationID))[1] 2211length(unique(filter(selected_prey_present, Year > 2016)$tblPredatorInformationID)) / length(unique(filter(d, Year > 2016)$tblPredatorInformationID))[1] 0.4070556Only 48% of cod have any of these prey species? That sounds fairly low, given that these are the most common prey and likely make up >80% of a cod’s diet around 30 cm. Update! This percentage is higher now that I have old data as well. In the newer data this number is around 36%
Next we want to group by predator and prey, and summarize the total weight. Before though, we need to make sure there are no NAs in Weight
unique(selected_prey_present$Weight) [1] 5 1 2 6 12 10 0 4 8 3 7 25 11 20 9 27 15 34 18
[20] 21 26 17 14 13 23 22 42 30 50 31 47 16 37 55 33 NA 24 19
[39] 58 28 41 80 32 29 66 89 36 122 88 67 165 72 43 35 40 76 48
[58] 57 52 83 38 44 79 327 190 51 69 54 189 142 102 49 45 60 99 70
[77] 53 61 73 39 132 63 893 87 92 65 62 46 74 68 216 324 156 56 115selected_prey_present <- selected_prey_present |> drop_na(Weight)drop_na: removed 111 rows (1%), 9,101 rows remainingThere are also weights that are 0 (21%!). How can a prey weigh nothing? If it can’t be measured I would have assumed it to be NA. Here are the analyzing organisations and the predator ID’s.
zero_weights <- selected_prey_present |> filter(!Weight == 0)filter: removed 1,944 rows (21%), 7,157 rows remainingunique(zero_weights$tblPredatorInformationID) [1] 15895 15898 15902 15904 15905 15908 15958 15961 15992 15987 15984 15975
[13] 15981 15978 15979 15966 15954 15962 15949 15930 15928 15947 15929 15941
[25] 15913 15933 15932 15942 15945 15971 15977 15937 15921 15915 15993 15989
[37] 15967 15968 15990 15991 15985 15983 15969 15986 15964 15960 15970 15974
[49] 15976 15955 15956 15946 15944 15934 16005 16010 16014 16012 16020 16017
[61] 16031 16119 16124 16218 16188 16184 16155 16178 16196 16204 16210 16224
[73] 16225 16201 16136 16222 16185 16193 16217 16197 16186 16216 16177 16172
[85] 16165 16219 16223 16161 16173 16189 16163 16142 16175 16157 16180 16150
[97] 16171 16187 16141 16192 16166 16139 16148 16146 16156 16149 16236 16238
[109] 16237 16241 16240 16239 16253 16260 16269 16264 16267 16268 16274 16273
[121] 16272 16277 16288 16290 16292 16293 16295 16297 16299 16333 16336 16338
[133] 16341 16368 16398 16399 16400 16401 16403 16408 16409 16427 16431 16433
[145] 16440 16457 16458 16463 16467 16471 16489 16493 16498 16499 16500 16504
[157] 16510 16511 16514 16518 16524 16528 16539 16542 16545 16556 16561 16576
[169] 16583 16584 16588 16594 16602 16606 16608 16610 16611 16612 16613 16651
[181] 16653 16654 16656 16657 16666 16686 16691 16722 16723 16724 16726 16727
[193] 16750 16754 16767 16781 16782 16785 16792 16795 16796 16809 16814 16815
[205] 16818 16819 16821 16826 16828 16832 16834 16836 16837 16838 16844 16860
[217] 16861 16862 16863 16864 16865 16878 16880 16881 16891 16894 16895 16897
[229] 16898 16904 16905 16906 16907 16914 16925 16926 16928 16930 16932 16943
[241] 16947 16948 16949 16953 16955 16956 16957 16960 16963 16969 16974 16976
[253] 16980 16984 16987 16994 16995 16998 16999 17000 17001 17005 17008 17009
[265] 17011 17013 17019 17020 17049 17050 17072 17076 17082 17111 17118 17119
[277] 17122 17125 17126 17127 17128 17130 17140 17141 17142 17143 17145 17148
[289] 17157 17160 17162 17166 17169 17174 17177 17185 17186 17187 17194 17204
[301] 17205 17213 17219 17220 17223 28294 28295 28296 28302 28306 28308 28309
[313] 28310 28311 28312 28313 28316 28317 28321 28289 28322 28323 28326 28327
[325] 28328 28329 28330 28331 28332 28334 28335 28337 28338 28339 28341 28343
[337] 28344 28291 28292 28354 28355 28358 28346 28348 28350 28351 28353 28375
[349] 28379 28381 28367 28369 28370 28371 28373 28397 28400 28388 28390 28392
[361] 28394 28403 28413 28415 28416 28417 28418 28419 28420 28421 28404 28422
[373] 28423 28425 28427 28428 28405 28406 28408 28409 28410 28439 28440 28441
[385] 28442 28443 28446 28447 28431 28434 28436 28450 28462 28464 28451 28467
[397] 28468 28469 28470 28471 28472 28474 28475 28476 28452 28477 28478 28480
[409] 28481 28482 28484 28453 28485 28487 28488 28490 28491 28492 28493 28494
[421] 28495 28496 28497 28498 28499 28500 28501 28502 28454 28503 28504 28505
[433] 28506 28507 28508 28455 28456 28457 28509 28513 28514 28515 28526 28517
[445] 28530 28538 28535 28539 28540 28543 28545 28546 28564 28567 28568 28552
[457] 28553 28555 28571 28581 28572 28573 28575 28576 28577 28582 28584 28587
[469] 28591 28592 28593 28597 28598 28610 28614 28621 28624 28627 28631 28637
[481] 28641 28642 28643 28645 28604 28647 28648 28660 28662 28666 28672 28673
[493] 28694 28698 28699 28700 28703 28705 28681 28682 28686 28709 28711 28712
[505] 28714 28722 28723 28724 28725 28726 28727 28728 28729 28715 28730 28731
[517] 28732 28733 28734 28736 28716 28740 28741 28743 28744 28745 28746 28717
[529] 28749 28718 28719 28720 28721 28750 28753 28754 28755 28758 28763 28768
[541] 28770 28773 28765 28766 28776 28777 28784 28785 28786 28789 28790 28791
[553] 28793 28794 28796 28797 28799 28800 28801 28802 28803 28808 28809 28778
[565] 28810 28812 28816 28817 28780 28781 28823 28826 28827 28830 28832 28839
[577] 28856 28857 28861 28848 28865 28868 28871 28872 28874 28875 28877 28851
[589] 28853 28880 28881 28901 28903 28905 28906 28889 28909 28910 28912 28890
[601] 28919 28922 28925 28928 28930 28892 28934 28893 28894 28935 28943 28944
[613] 28949 28951 28936 28958 28959 28961 28937 28962 28964 28967 28969 28938
[625] 28971 28974 28976 28980 28981 28982 28986 28987 28988 28939 28940 28941
[637] 28942 28990 28992 28994 28996 29015 28998 29020 29029 29032 29033 29034
[649] 29036 29038 29039 29040 29042 29044 29022 29045 29046 29047 29048 29050
[661] 29056 29057 29058 29024 29027 29028 29070 29076 29061 29079 29081 29082
[673] 29083 29084 29085 29087 29062 29088 29089 29090 29091 29093 29096 29097
[685] 29098 29100 29101 29102 29103 29104 29106 29107 29108 29109 29111 29112
[697] 29113 29065 29115 29116 29117 29119 29120 29121 29122 29066 29123 29125
[709] 29126 29128 29068 29133 29135 29140 29142 29143 29144 29145 29154 29156
[721] 29157 29158 29159 29160 29146 29147 29148 29149 29150 29151 29152 29153
[733] 29161 29170 29171 29172 29173 29174 29175 29176 29177 29162 29163 29164
[745] 29165 29166 29167 29168 29180 29189 29190 29181 29182 29183 29184 29185
[757] 29187 29188 29205 29210 29211 29213 29217 29218 29219 29220 29221 29222
[769] 29223 29226 29227 29230 29232 29234 29235 29236 29237 29199 29200 29238
[781] 29247 29248 29250 29252 29254 29255 29258 29260 29261 29262 29264 29266
[793] 29240 29267 29269 29273 29275 29277 29278 29279 29280 29281 29282 29283
[805] 29285 29286 29287 29243 29244 29246 29297 29298 29299 29301 29303 29304
[817] 29305 29289 29307 29308 29312 29313 29290 29316 29318 29320 29323 29291
[829] 29325 29327 29330 29333 29334 29292 29335 29337 29338 29339 29343 29345
[841] 29346 29347 29349 29351 29352 29294 29353 29355 29296 29365 29366 29367
[853] 29368 29369 29373 29374 29358 29375 29376 29377 29378 29359 29360 29361
[865] 29363 29379 29382 29383 29394 29395 29396 29397 29384 29385 29387 29389
[877] 29399 29400 29401 29403 29404 29405 29417 29419 29420 29421 29422 29423
[889] 29411 29412 29413 29414 29415 29437 29440 29441 29445 29453 29431 29454
[901] 29465 29466 29467 29469 29472 29456 29473 29477 29458 29460 29461 29478
[913] 29479 29480 29481 29482 29483 29484 29485 29493 29494 29495 29496 29511
[925] 29512 29499 29515 29518 29501 29505 29521 29530 29531 29537 29538 29522
[937] 29541 29546 29523 29548 29550 29524 29525 29527 29528 29529 29553 29563
[949] 29564 29565 29566 29567 29568 29569 29570 29554 29571 29555 29556 29558
[961] 29559 29560 29561 29575 29586 29588 29594 29578 29597 29602 29611 29614
[973] 29615 29618 29583 29630 29634 29635 29637 29638 29640 29641 29643 29644
[985] 29621 29647 29649 29650 29622 29653 29624 29655 29656 29657 30541 30542
[997] 30543 30544 30545 29681 29683 29684 29690 29691 29695 29702 29703 29708
[1009] 29709 29710 29711 29712 29713 29722 29731 29732 29734 29735 29736 29737
[1021] 29738 29741 29742 29743 29757 29758 29761 29766 29776 29777 29778 29779
[1033] 29780 29781 29782 29787 29788 29790 29810 29812 29821 29822 29825 29827
[1045] 29828 29829 29850 29851 29852 29853 29855 29857 29858 29860 29861 29863
[1057] 29877 29881 29883 29892 29896 29897 29898 29902 29915 29916 29920 29962
[1069] 29955 29961 29963 29965 29976 29987 29990 29991 29992 29999 30000 30004
[1081] 30005 30006 30019 30020 30021 30022 30024 30025 30027 30029 30030 30031
[1093] 30041 30051 30052 30054 30055 30056 30057 30058 30059 30060 30061 30063
[1105] 30064 30065 30077 30079 30082 30084 30085 30086 30087 30088 30089 30091
[1117] 30092 30097 30098 30127 30129 30111 30112 30113 30114 30115 30140 30153
[1129] 30155 30162 30163 30164 30166 30168 30170 30171 30172 30175 30176 30180
[1141] 30195 30228 30232 30234 30236 30239 30240 30249 30250 30256 30271 30274
[1153] 30282 30285 30289 30291 30301 30302 30311 30312 30315 30317 30324 30325
[1165] 30328 30345 30346 30349 30356 30365 30377 30384 30385 30393 30394 30410
[1177] 30419 30427 30428 30430 30431 30436 30446 30456 30461 30463 30472 30478
[1189] 30479 30480 30489 30499 30501 30502 30504 30505 30507 30508 30509 30510
[1201] 30511 30512 30516 30517 30519 30520 30521 30523 30524 30526 30527 30528
[1213] 30529 31523 31524 31526 31528 31529 31530 31531 31532 31533 31534 31535
[1225] 31536 31537 31557 31559 31560 31563 31564 31566 31567 31576 31577 31578
[1237] 31579 31580 31581 31582 31583 31589 31591 31596 31599 31600 31601 31602
[1249] 31603 31604 31605 31606 31608 31610 31612 31629 31633 31634 31635 31637
[1261] 31640 31648 31659 31660 31661 31662 31663 31664 31665 31667 31671 31672
[1273] 31675 31676 31680 31681 31686 31687 31688 31691 31693 31694 31695 31716
[1285] 31722 31727 31729 31732 31740 31743 31745 31756 31760 31761 31766 31767
[1297] 31769 31775 31776 31777 31789 31790 31792 31794 31796 31808 31823 31841
[1309] 31842 31845 31848 31861 31871 31879 31885 31890 31898 31902 31906 31910
[1321] 31930 31931 31932 31933 31934 31935 31938 31939 31940 31959 31966 31970
[1333] 31974 31975 31979 31980 31981 31982 31985 31986 31988 31996 32003 32006
[1345] 32008 32017 32020 32026 32035 32048 32049 32052 32053 32054 32056 32057
[1357] 32081 32083 32097 32098 32103 32107 32110 32113 32114 32115 32116 32117
[1369] 32118 32119 32120 32122 32124 32125 32128 32129 32130 32132 32133 32135
[1381] 32136 32137 32138 32144 32154 32156 32157 32162 32168 32169 32170 32171
[1393] 32173 32174 32175 32176 32177 32179 32181 32182 32197 32202 32203 32204
[1405] 32206 32207 32211 32212 32213 32215 32217 32219 32222 32225 32226 32227
[1417] 32235 32236 32239 32240 32241 32246 32248 32249 32250 32254 32255 32272
[1429] 32277 32286 32288 32289 32290 32292 32296 32298 32299 32304 32307 32308
[1441] 32310 32312 32342 32356 32360 32361 32363 32370 32371 32377 32385 32389
[1453] 32391 32398 32406 32411 32416 32422 32631 32633 32634 32635 32636 32638
[1465] 32640 32641 32650 32654 32656 32658 32660 32664 32665 32644 32667 32672
[1477] 32674 32676 32680 32681 32683 32648 32649 32689 32747 32748 32749 32750
[1489] 32751 32752 32753 32798 32812 32814 32816 32820 32800 32826 32803 32828
[1501] 32829 32830 32836 32837 42316 42317 42318 42320 42330 42332 42333 42335
[1513] 42337 42340 42343 42345 42322 42324 42325 42368 42372 42377 42379 42397
[1525] 42408 42412 42418 42419 42425 42427 42429 42430 42455 42458 42461 42463
[1537] 42465 42471 42473 42474 42476 42479 42481 42482 42485 42486 42487 42490
[1549] 42442 42445 42446 42453 42456 42469 42437 42472 42475 42480 42483 42440
[1561] 42443 42444 42517 42447 42525 42535 42452 42541 42551 42556 42562 42563
[1573] 42564 42574 42595 42590 42606 42614 42615 42619 42620 42622 42625 42608
[1585] 42611 42612 42613 42636 42649 42651 42654 42657 42665 42668 42671 42673
[1597] 42676 42639 42640 42642 42643 42647 42656 42662 42681 42684 42685 42645
[1609] 42700 42710 42711 42712 42701 42721 42725 42723 42724 42731 42736 42737
[1621] 42742 42745 42748 42752 42750 42754 42755 42764 42763 42767 42770 42774
[1633] 42782 42771 42772 42776 42785 42786 42788 42789 42796 42797 42806 42811
[1645] 42812 42813 42816 42817 42827 42838 42840 42842 42845 42846 42852 42829
[1657] 42857 42860 42861 42862 42863 42865 42866 42867 42873 42874 42877 42878
[1669] 42879 42881 42882 42883 42884 42912 42913 42902 42925 42934 42935 42936
[1681] 42937 42939 42941 42942 42956 42948 42951 42960 42963 42972 42973 42974
[1693] 42975 42976 42977 42978 42979 42980 42982 42983 42966 42967 42968 42969
[1705] 42970 42971 42985 42994 42996 42986 42987 42988 42989 42990 42991 42992
[1717] 42993 43078 43079 43080 43081 43082 43085 43087 43089 43090 43070 43071
[1729] 42997 43006 43007 43008 42998 43000 43002 43004 43096 43099 43100 43031
[1741] 43110 43176 43112 43118 43121 43123 43126 43103 43133 43137 43138 43104
[1753] 43140 43106 43156 43157 43158 43159 43162 43163 43168 43183 43197 43185
[1765] 43191 43207 43210 43045 43213 43214 43218 43227 43048 43049 43058 43059
[1777] 43060 43050 43051 43063 43064 43052 43065 43066 43067 43053 43054 43055
[1789] 43056 43057 43228 43237 43238 43239 43240 43242 43243 43245 43246 43229
[1801] 43247 43251 43252 43230 43259 43265 43266 43231 43267 43274 43276 43232
[1813] 43277 43233 43235 43236 43278 43288 43289 43290 43291 43293 43296 43298
[1825] 43301 43302 43303 43304 43306 43308 43310 43311 43313 43314 43315 43280
[1837] 43316 43317 43319 43320 43322 43324 43325 43281 43282 43283 43284 43285
[1849] 43328 43337 43338 43339 43341 43342 43344 43349 43352 43354 43355 43330
[1861] 43357 43360 43363 43369 43371 43375 43334 43378 43391 43393 43394 43395
[1873] 43398 43380 43382 43383 43384 43385 43386 43401 43411 43413 43414 43415
[1885] 43417 43418 43402 43421 43423 43425 43426 43403 43404 43406 43407 43441
[1897] 43451 43452 43444 43445 43447 43448 43477 43496 43514 43497 43503 43545
[1909] 43555 43556 43558 43559 43564 43565 43566 43568 43569 43570 43571 43572
[1921] 43547 43576 43577 43578 43548 43583 43587 43549 43550 43551 43552 43553
[1933] 43607 43610 43611 43612 43613 43614 43615 43616 43599 43617 43600 43601
[1945] 43602 43604 43605 43606 43618 43629 43630 43632 43634 43619 43620 43621
[1957] 43622 43623 43625 43626 43646 43651 43658 43661 43662 43637 43664 43667
[1969] 43672 43638 43677 43687 43697 43701 43702 43703 43704 43688 43706 43707
[1981] 43689 43690 43693 43695 43714 43716 43722 43723 43724 43726 43728 43729
[1993] 43746 43763 43768 43778 43739 43747 43748 43753 43757 43759 43761 43765
[2005] 43774 43777 43733 43784 43790 43795 43798 43802 43803 43735 43815 43817
[2017] 43821 43823 43738 43827 43741 43743 43745 43832 43854 43835 43899 43926
[2029] 43849 43850 43858 43863 43834 43873 43881 43882 43885 43887 43836 43893
[2041] 43839 43841 43842 43945 43954 43956 43961 43963 43964 43965 43967 43973
[2053] 43947 43975 43980 43981 43950 43951 43952 43953 44016 44021 44022 44027
[2065] 44001 44008 43997 43999 44032 44049 44052 44054 44058 44061 44062 44065
[2077] 44066 44069 44043 44045 44047 44076 44074 44120 44124 44125 44130 44132
[2089] 44127 44128 44150 44138 44139 44144 44143 44145 44148 44205 44207 44237
[2101] 44239 44240 44241 44243 44255 44256 44245 44247 44279 44248 44252 44302
[2113] 44315 44317 44328 44337 44338 44340 44305 44355 44358 44372 44374 44383
[2125] 44395 44399 44401 44406 44407 44388 44389 44391 44392 44393 44385 44435
[2137] 44449 44451 44454 44455 44460 44463 44468 44438 44473 44475 44441 44481
[2149] 44446 44447 44448 44489 44520 44521 44524 44525 44527 44511 44530 44533
[2161] 44534 44537 44538 44539 44542 44543 44544 44513 44550 44551 44552 44553
[2173] 44517 44568 44571 44572 44569 44611 44621 44610 44651 44653 44654 44660
[2185] 44644 44673 44645 44682 44649 44692 44711 44714 44717 44721 44695 44725
[2197] 44726 44728 44731 44732 44697 44735 44738 44740 44741 44742 44744 44698
[2209] 44747 44749 44702 44708 44693 44696 44767 44769 44770 44772 44778 44779
[2221] 44780 44781 44784 44758 44785 44759 44803 44762 44815 44816 44822 44823
[2233] 44806 44826 44827 44828 44829 44831 44833 44807 44834 44836 44838 44839
[2245] 44808 44849 44850 44810 44811 44859 44860 44881 44861 44883 44888 44892
[2257] 44865 44869 44871 44873 44913 44918 44919 44922 44926 44930 44931 44936
[2269] 44937 44938 44941 44942 44944 44945 44950 44951 44958 44905 44909 44912
[2281] 44910 44961 44971 44978 44979 44980 44982 44983 44986 44987 44988 44991
[2293] 44993 44998 45000 45001 45002 45004 45005 44965 45009 44968 44969 45021
[2305] 45023 45025 45028 45013 45014 45043 45064 45070 45071 45097 45099 45101
[2317] 45103 45108 45109 45081 45112 45114 45115 45117 45118 45083 45121 45122
[2329] 45123 45124 45125 45085 45131 45132 45135 45137 45138 45139 45086 45140
[2341] 45141 45142 45143 45144 45146 45148 45150 45151 45154 45156 45157 45091
[2353] 45159 45161 45162 45208 45209 45215 45227 45168 45249 45264 45251 45254
[2365] 45297 45299 45255 45256 45257 45258 45304 45327 45328 45330 45332 45337
[2377] 45306 45341 45346 45347 45355 45309 45360 45378 45382 45385 45387 45313
[2389] 45401 45405 45407 45315 45428 45438 45318 45305 45322 45326 45331 45338
[2401] 45307 45342 45345 45348 45350 45308 45375 45384 45386 45388 45396 45314
[2413] 45320 45491 45474 45478 45484 45486 45514 45519 45520 45521 45525 45532
[2425] 45485 45560 45595 45609 45618 45621 45622 45623 45610 45611 45612 45616
[2437] 45617 45661 45664 45665 45660 45675 45685 45690 45719 45679 45682 45739
[2449] 45731 45734 45735 45798 45807 45800 45803 45804 45836 45838 45840 45843
[2461] 45847 45855 45857 45861 45862 45831 45832 45834 45883 45886 45887 45929
[2473] 45937 45939 45942 45930 45931 45932 45933 45934 45936 45954 45962 45965
[2485] 45966 45967 45969 45970 45971 45972 45973 45974 45975 45976 45978 45979
[2497] 45980 45981 45955 45983 45984 45985 45986 45989 45990 45956 45991 45995
[2509] 45958 45959 45960 45961 46008 46017 46018 46021 46022 46024 46026 46029
[2521] 46030 46031 46034 46035 46036 46010 46038 46044 46011 46049 46050 46055
[2533] 46056 46012 46013 46014 46015 46016 46076 46060 46094 46099 46102 46103
[2545] 46108 46109 46062 46114 46066 46068 46070 46073 46173 46199 46208 46209
[2557] 46210 46213 46204 46206 46217 46231 46218 46221 46222 46224 46226 46232
[2569] 46243 46230 46268 46271 46272 46278 46280 46281 46282 46283 46284 46285
[2581] 46286 46287 46288 46290 46252 46292 46256 46258 46260 46265 46304 46305
[2593] 46307 46325 46326 46308 46309 46310 46313 46314 46316 46317 46318 46321
[2605] 46323 46298 46300 46301 46303 46342 46343 46344 46345 46346 46347 46348
[2617] 46350 46353 46354 46355 46357 46358 46359 46360 46335 46382 46385 46378
[2629] 46405 46409 46410 46412 46414 46420 46424 46426 46452 46440 46444 46450
[2641] 46434 46454 46459 46461 46436 46465 46470 46472 46437 46474 46480 46439
[2653] 46486 46488 46489 46490 46441 46491 46493 46495 46496 46500 46501 46504
[2665] 46509 46446 46513 46517 46518 46519 46520 46524 46525 46528 46533 46565
[2677] 46536 46576 46538 46604 46606 46607 46625 46627 46646 46655 46656 46665
[2689] 46666 46667 46668 46669 46670 46671 46672 46678 46679 46681 46658 46684
[2701] 46690 46691 46692 46659 46696 46700 46703 46660 46661 46663 46664 46704
[2713] 46713 46716 46717 46719 46720 46722 46705 46723 46725 46728 46733 46734
[2725] 46736 46737 46738 46740 46751 46756 46709 46710 46712 46780 46789 46790
[2737] 46791 46795 46797 46802 46803 46805 46808 46809 46810 46811 46822 46812
[2749] 46832 46838 46814 46815 46816 46817 46818 46904 46903 46908 46926 46928
[2761] 46934 46936 46937 46940 46942 46944 46911 46950 46952 46955 46959 46913
[2773] 46964 46968 46970 46971 46972 46974 46977 46981 46914 46917 46918 46924
[2785] 46929 46930 46932 46933 46938 46939 46941 46943 46910 46945 46953 46956
[2797] 46958 46960 46967 46925 47027 47028 47030 47035 47039 47041 47043 47045
[2809] 47046 47052 47036 47055 47061 47063 47065 47067 47070 47073 47075 47079
[2821] 47081 47086 47088 47091 47040 47099 47103 47104 47105 47042 47044 47119
[2833] 47121 47124 47120 47139 47143 47145 47147 47150 47152 47153 47122 47154
[2845] 47155 47157 47158 47159 47160 47161 47162 47165 47167 47168 47169 47170
[2857] 47171 47172 47125 47173 47174 47175 47176 47177 47178 47179 47180 47181
[2869] 47182 47128 47184 47185 47186 47187 47188 47189 47192 47130 47193 47194
[2881] 47195 47196 47197 47198 47199 47200 47201 47202 47203 47204 47205 47206
[2893] 47211 47134 47216 47217 47135 47221 47239 47241 47242 47243 47245 47222
[2905] 47246 47248 47249 47250 47257 47260 47262 47263 47226 47264 47266 47268
[2917] 47270 47271 47227 47273 47274 47277 47279 47280 47229 47285 47287 47288
[2929] 47291 47232 47292 47293 47294 47296 47297 47298 47299 47300 47234 47302
[2941] 47303 47304 47236 47220 47223 47224 47225 47235 47306 47310 47312 47316
[2953] 47317 47305 47307 47309 47311 47313 47318 47321 47322 47323 47324 47325
[2965] 47326 47327 47319 47320 47336 47329 47332 47334 47352 47341 47343 47344
[2977] 47345 47349 47339 47355 47354 47356 47357 47361 47370 47372 47377 47378
[2989] 47380 47381 47383 47384 47386 47387 47389 47363 47391 47398 47364 47400
[3001] 47401 47402 47403 47407 47414 47366 47368 47452 47454 47429 47431 47470
[3013] 47471 47474 47475 47478 47485 47487 47497 47501 47502 47505 47440 47511
[3025] 47512 47539 47541 47537 47543 47591 47609 47613 47614 47623 47659 47660
[3037] 47664 47666 47645 47646 47648 47650 47679 47691 47706 47712 47700 47730
[3049] 47750 47751 47752 47753 47756 47759 47764 47765 47760 47776 47778 47782
[3061] 47786 47790 47792 47795 47798 47800 47802 47807 47813 47763 47819 47826
[3073] 47827 47829 47835 47843 47844 47774 47852 47849 47865 47866 47867 47869
[3085] 47870 47875 47853 47855 47858 47861 47862 47886 47900 47904 47887 47888
[3097] 47923 47924 47891 47933 47935 47898 47901 47895 47899 47957 47958 47960
[3109] 47946 47948 47949 47951 47953 47990 47991 47992 47994 47995 47996 47997
[3121] 47999 47975 48003 47982 47984 47986 47988 47989 47974 47981 48008 48029
[3133] 48030 48031 48032 48033 48035 48038 48040 48043 48019 48009 48011 48012
[3145] 48014 48015 48057 48059 48060 48067 48068 48073 48074 48076 48079 48083
[3157] 48084 48088 48092 48056 48050 48058 48061 48062 48069 48070 48072 48075
[3169] 48077 48078 48090 48091 48051 48095 48102 48052 48055 48108 48110 48111
[3181] 48123 48106 48128 48129 48135 48107 48109 48151 48112 48113 48115 48178
[3193] 48302 48308 48316 48317 48319 48320 48323 48324 48325 48328 48339 48343
[3205] 48347 48181 48182 48236 48179 48180 48183 48185 48186 48351 48353 48357
[3217] 48359 48361 48370 48374 48375 48352 48391 48396 48397 48399 48404 48406
[3229] 48408 48410 48413 48356 48453 48360 48362 48484 48490 48365 48543 48546
[3241] 48541 48547 48551 48553 48583 48602 48605 48624 48711 48784 48785 48789
[3253] 48790 48806 48814 48815 48819 48820 48821 48822 48824 48827 48829 48830
[3265] 48808 48832 48833 48837 48839 48810 48850 48851 48853 48854 48857 48858
[3277] 48861 48863 48845 48846 48847 48848 48864 48868 48869 48870 48871 48872
[3289] 48873 48876 49003 49005 49007 49009 49015 49017 49018 49021 49022 49031
[3301] 49095 49033 49034 49035 49036 49037 49039 49023 49041 49042 49044 49045
[3313] 49051 49052 49053 49055 49057 49060 49061 49062 49063 49067 49026 49070
[3325] 49075 49027 49084 49028 49029 49097 49098 49099 49101 49103 49104 49105
[3337] 49106 49107 49125 49118 49136 49137 49119 49156 49161 49171 49199 49203
[3349] 49209 49210 49212 49216 49175 49222 49224 49226 49240 49247 49249 49233
[3361] 49261 49262 49266 49269 49270 49264 49276 49273 49279 49280 49281 49328
[3373] 49327 49361 49363 49408 49467 49680 49709 49712 49717 49725 49718 49720
[3385] 49756 49761 49764 49775 49785 49809 49804 49878 49906 49910 49911 49930
[3397] 49931 49932 49965 49966 49967 49968 49972 49973 49978 49954 49957 49960
[3409] 49963 49964 49952 49955 49981 49986 49990 49992 50004 50005 50008 50009
[3421] 50002 50021 50023 50044 50046 50048 50050 50125 50174 50175 50185 50193
[3433] 50195 50197 50200 50210 50211 50212 50213 50214 50217 50222 50224 50225
[3445] 50227 50258 50238 50240 50244 50247 50253 50263 50260 50267 50268 50271
[3457] 50280 50283 50294 50296 50299 50353 50355 50356 50357 50379 50386 50391
[3469] 50408 50410 50434 50421 50452 50453 50458 50459 50446 50447 50449 50450
[3481] 50442 50464 50466 50473 50470 50481 50489 50490 50491 50495 50503 50486
[3493] 50488 50480 50483 50485 50505 50507 50509 50530 50532 50533 50535 50538
[3505] 50540 50542 50543 50547 50550 50556 50564 50572 50515 50508 50527 50529
[3517] 50536 50511 50545 50546 50514 50517 50520 50588 50590 50594 50596 50599
[3529] 50583 50610 50611 50612 50613 50614 50615 50616 50617 50618 50619 50620
[3541] 50624 50605 50606 50607 50608 50609 50627 50637 50638 50639 50642 50645
[3553] 50646 50628 50647 50651 50652 50629 50632 50670 50671 50672 50673 50674
[3565] 50675 50657 50660 50665 50667 50669 50654 50655 50656 50678 50694 50710
[3577] 50714 50718 50721 50695 50723 50724 50699 50702 50705 50709 50732 50737
[3589] 50745 50749 50750 50759 50765 50780 50781 50783 50785 50795 50798 50800
[3601] 50809 50792 50812 50821 50825 50830 50831 50837 50844 50832 50850 50852
[3613] 50857 50835 50838 50842 50845 50867 50890 50891 50896 50905 50907 50910
[3625] 50914 50911 50943 50944 50940 50941 50948 50949 50953 50956 50965 50957
[3637] 50958 50959 50960 50992 50994 50995 50996 50997 50986 50988 50989 50983
[3649] 50985 51014 51019 51021 51025 51026 51030 51034 51037 51040 51041 51044
[3661] 51045 51005 51054 51007 51055 51058 51010 51060 51059 51067 51068 51069
[3673] 51070 51071 51076 51078 51079 51080 51082 51084 51062 51086 51065 51089
[3685] 51090 51092 51094 51096 51098 51100 51101 51115 51117 51118 51119 51120
[3697] 51121 51122 51103 51123 51124 51126 51127 51131 51104 51134 51135 51136
[3709] 51137 51140 51106 51143 51108 51109 51111 51112 51113 51107 51145 51159
[3721] 51249 51163 51250 51252 51256 51175 51148 51178 51181 51185 51186 51188
[3733] 51189 51190 51192 51194 51195 51196 51198 51199 51202 51203 51205 51206
[3745] 51207 51208 51209 51212 51215 51216 51218 51219 51220 51221 51224 51155
[3757] 51226 51230 51231 51157 51158 51146 51160 51161 51164 51165 51167 51169
[3769] 51171 51172 51174 51147 51177 51179 51180 51184 51150 51152 51153 51271
[3781] 51270 51272 51273 51276 51277 51281 51295 51296 51297 51298 51299 51301
[3793] 51302 51304 51305 51307 51308 51309 51311 51312 51285 51314 51316 51317
[3805] 51318 51319 51286 51321 51289 51323 51326 51330 51291 51292 51293 51294
[3817] 51337 51354 51357 51359 51364 51366 51368 51369 51339 51375 51378 51380
[3829] 51341 51343 51345 51347 51350 51353 51420 51398 51399 51401 51403 51405
[3841] 51407 51409 51428 51430 51431 51435 51453 51455 51460 51465 51476 51478
[3853] 51492 51494 51495 51499 51500 51510 51498 51501 51520 51523 51531 51535
[3865] 51537 51538 51503 51540 51543 51547 51549 51551 51552 51555 51558 51560
[3877] 51548 51550 51554 51559 51565 51566 51567 51568 51590 51592 51593 51595
[3889] 51609 51599 51622 51626 51600 51627 51602 51603 51604 51605 51606 51634
[3901] 51635 51636 51638 51639 51642 51643 51646 51649 51650 51651 51653 51654
[3913] 51657 51658 51659unique(zero_weights$AnalysingOrg)[1] 194 3140 2195# 3140 Institute of Food Safety, Animal Health and Environment (BIOR) EDMO False 2015-02-06 2022-08-30
# 194 National Marine Fisheries Research Institute (NMFRI) EDMO False 2015-02-06 2021-12-22
# 2195 DTU Aqua, National Institute of Aquatic Resources, Technical University of Denmark 21% of rows where these prey are present do not have a weight…. Do they have a length? Can we estimate Weight? If length is not NA and Weight is 0, estimate weight based on length and multiply with the count of prey. Else give weight NA and drop it.
t <- selected_prey_present |>
mutate(weight_source = ifelse(Weight == 0 & !is.na(prey_length) & !is.na(Count), "estimated", "observed")) |>
mutate(Weight = ifelse(weight_source == "estimated", (0.01*prey_length^3)*Count, Weight)) |>
filter(Weight > 0)mutate: new variable 'weight_source' (character) with 2 unique values and 0% NAmutate: changed 455 values (5%) of 'Weight' (0 new NA)filter: removed 1,497 rows (16%), 7,604 rows remainingEven if we estimate the prey weight based on the length of the prey and the number of the prey, we still have 16% of rows in this data with saduria, herring and sprat that does not have any weight information, even though they were clearly present in the data. We can see that here:
selected_prey_present |>
filter(Weight == 0) |>
head(5)filter: removed 7,157 rows (79%), 1,944 rows remaining# A tibble: 5 × 60
tblUploadID tblHaulID tblPredatorInformatio…¹ tblPreyInformationID Ship Gear
<dbl> <dbl> <dbl> <dbl> <chr> <chr>
1 8175 2596 15908 21462 67BC TVL
2 8175 2597 15979 21502 67BC TVL
3 8175 2597 15966 21505 67BC TVL
4 8175 2597 15911 21551 67BC TVL
5 8175 2597 15926 21554 67BC TVL
# ℹ abbreviated name: ¹tblPredatorInformationID
# ℹ 54 more variables: HaulNo <dbl>, StationNumber <dbl>, Year <dbl>,
# Month <dbl>, Day <dbl>, Time <chr>, FishID <dbl>, AphiaIDPredator <dbl>,
# AphiaIDPrey <dbl>, IdentMet <chr>, DigestionStage <dbl>, GravMethod <chr>,
# SubFactor <dbl>, PreySequence <dbl>, Count <dbl>, UnitWgt <chr>,
# Weight <dbl>, UnitLngt <chr>, prey_length <dbl>, OtherItems <chr>,
# OtherCount <dbl>, OtherWgt <dbl>, AnalysingOrg <dbl>, prey_notes <chr>, …I guess this is because they couldn’t be measured or weighed, only counted. Which seems fair. For our purpose, it would probably be less wrong to give them the average weight rather than treating them as 0s, so that’s what I’ll do here.
prey_avg_ind_weight <- selected_prey_present |>
filter(!is.na(Count) & Weight > 0 & Count > 0) |> # -999 count here...
group_by(common_prey_name) |>
mutate(ind_weight = Weight / Count) |>
summarise(avg_weight = mean(ind_weight))filter: removed 3,055 rows (34%), 6,046 rows remaininggroup_by: one grouping variable (common_prey_name)mutate (grouped): new variable 'ind_weight' (double) with 224 unique values and 0% NAsummarise: now 3 rows and 2 columns, ungroupedprey_avg_ind_weight# A tibble: 3 × 2
common_prey_name avg_weight
<chr> <dbl>
1 herring 21.9
2 saduria 3.41
3 sprat 6.73This should be the average prey weight which we can use to calculate the weight of these prey if we have the counts. Left join to data.
selected_prey_present_clean <- selected_prey_present |>
left_join(prey_avg_ind_weight) |>
mutate(weight_source = ifelse(Weight == 0 & !is.na(prey_length) & !is.na(Count), "estimated", "observed")) |>
mutate(Weight = ifelse(weight_source == "estimated", (0.01*prey_length^3)*Count, Weight)) |>
group_by(common_prey_name) |>
mutate(Weight = ifelse(Weight == 0 & !is.na(Count), Count * avg_weight, Weight)) |>
filter(Weight > 0)Joining with `by = join_by(common_prey_name)`
left_join: added one column (avg_weight)
> rows only in x 0
> rows only in y ( 0)
> matched rows 9,101
> =======
> rows total 9,101
mutate: new variable 'weight_source' (character) with 2 unique values and 0% NA
mutate: changed 455 values (5%) of 'Weight' (0 new NA)
group_by: one grouping variable (common_prey_name)
mutate (grouped): changed 894 values (10%) of 'Weight' (0 new NA)
filter (grouped): removed 603 rows (7%), 8,498 rows remainingWith these estimates of weight based on either length or worst case, average weight of that prey, we need to drop 556 rows in the presence data (around 6%). Now calculate the total weight of these prey per individual predator stomach, and then pivot wider.
selected_prey_present_summed <- selected_prey_present_clean |>
group_by(tblPredatorInformationID, common_prey_name) |>
summarise(tot_weight = sum(Weight)) |>
ungroup()group_by: 2 grouping variables (tblPredatorInformationID, common_prey_name)summarise: now 5,441 rows and 3 columns, one group variable remaining (tblPredatorInformationID)ungroup: no grouping variablesselected_prey_present_summed <- selected_prey_present_summed |>
pivot_wider(names_from = "common_prey_name", values_from = "tot_weight", values_fill = 0)pivot_wider: reorganized (common_prey_name, tot_weight) into (sprat, herring, saduria) [was 5441x3, now 4697x4]Here I need to set values_fill = 0. Because they are not NA but 0. This is just because I work with three species at the same time. Next I will left_join in the remaining predator information, and after that bind_rows “empty stomachs” (with respect to these 3 prey species). Since the IDs are not overlapping, it doesn’t matter that I already have some 0’s here for some species
selected_prey_present_summed <- selected_prey_present_summed |>
left_join(pred, by = "tblPredatorInformationID")left_join: added 40 columns (tblUploadID, tblHaulID, Ship, Gear, HaulNo, …) > rows only in x 0 > rows only in y (5,904) > matched rows 4,697 > ======= > rows total 4,697Now add in the “empty stomachs” using bind_rows. When I bind_rows, the columns that are not matching get NA. The only column not matching should be the average weight columns. They will get NA, and I’ll change it to 0.
empty <- pred |> filter(!tblPredatorInformationID %in% c(selected_prey_present_summed$tblPredatorInformationID))filter: removed 4,697 rows (44%), 5,904 rows remainingdd <- bind_rows(selected_prey_present_summed, empty)
# Yes, works as intended, see the added NAs in the selected prey weights. Make them 0!
unique(is.na(dd)) tblPredatorInformationID sprat herring saduria tblUploadID tblHaulID
[1,] FALSE FALSE FALSE FALSE FALSE FALSE
[2,] FALSE FALSE FALSE FALSE FALSE FALSE
[3,] FALSE FALSE FALSE FALSE FALSE FALSE
[4,] FALSE FALSE FALSE FALSE FALSE FALSE
[5,] FALSE FALSE FALSE FALSE FALSE FALSE
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[21,] FALSE TRUE TRUE TRUE FALSE FALSE
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[23,] FALSE TRUE TRUE TRUE FALSE FALSE
[24,] FALSE TRUE TRUE TRUE FALSE FALSE
Ship Gear HaulNo StationNumber Year Month Day Time FishID
[1,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[2,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[3,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[4,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[5,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[6,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[7,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[8,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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[10,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[11,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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[15,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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[18,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[19,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[20,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[21,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[22,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[23,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[24,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
AphiaIDPredator IndWgt Number MeasurementIncrement pred_length Code
[1,] FALSE FALSE FALSE FALSE FALSE FALSE
[2,] FALSE FALSE FALSE FALSE FALSE FALSE
[3,] FALSE FALSE FALSE FALSE FALSE FALSE
[4,] FALSE FALSE FALSE FALSE FALSE TRUE
[5,] FALSE FALSE FALSE FALSE FALSE TRUE
[6,] FALSE FALSE FALSE FALSE FALSE TRUE
[7,] FALSE FALSE FALSE FALSE FALSE TRUE
[8,] FALSE TRUE FALSE FALSE FALSE TRUE
[9,] FALSE TRUE FALSE FALSE FALSE TRUE
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[11,] FALSE TRUE FALSE FALSE FALSE FALSE
[12,] FALSE FALSE FALSE FALSE FALSE TRUE
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[15,] FALSE FALSE FALSE FALSE FALSE FALSE
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[17,] FALSE FALSE FALSE FALSE FALSE TRUE
[18,] FALSE FALSE FALSE FALSE FALSE TRUE
[19,] FALSE FALSE FALSE FALSE FALSE TRUE
[20,] FALSE TRUE FALSE FALSE FALSE TRUE
[21,] FALSE FALSE FALSE FALSE FALSE FALSE
[22,] FALSE TRUE FALSE FALSE FALSE FALSE
[23,] FALSE FALSE FALSE FALSE FALSE TRUE
[24,] FALSE FALSE FALSE FALSE FALSE TRUE
Age Sex MaturityScale MaturityStage PreservationMethod Regurgitated
[1,] FALSE FALSE FALSE FALSE FALSE TRUE
[2,] FALSE FALSE FALSE FALSE TRUE FALSE
[3,] FALSE FALSE FALSE FALSE TRUE TRUE
[4,] TRUE FALSE FALSE FALSE FALSE FALSE
[5,] TRUE FALSE TRUE TRUE FALSE FALSE
[6,] TRUE TRUE TRUE TRUE FALSE FALSE
[7,] TRUE FALSE FALSE FALSE FALSE FALSE
[8,] TRUE FALSE FALSE FALSE FALSE FALSE
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[10,] FALSE FALSE FALSE FALSE FALSE FALSE
[11,] FALSE FALSE FALSE FALSE FALSE FALSE
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[13,] FALSE FALSE FALSE FALSE FALSE TRUE
[14,] FALSE FALSE FALSE FALSE TRUE FALSE
[15,] FALSE FALSE FALSE FALSE TRUE TRUE
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[18,] TRUE FALSE FALSE FALSE FALSE FALSE
[19,] TRUE FALSE TRUE TRUE FALSE FALSE
[20,] TRUE FALSE FALSE FALSE FALSE FALSE
[21,] FALSE FALSE FALSE FALSE FALSE FALSE
[22,] FALSE FALSE FALSE FALSE FALSE FALSE
[23,] TRUE TRUE FALSE FALSE FALSE FALSE
[24,] TRUE FALSE TRUE TRUE FALSE FALSE
StomachFullness FullStomWgt EmptyStomWgt StomachEmpty GenSamp ShootLat
[1,] TRUE TRUE TRUE TRUE FALSE FALSE
[2,] TRUE TRUE TRUE TRUE FALSE FALSE
[3,] TRUE TRUE TRUE TRUE FALSE FALSE
[4,] TRUE TRUE TRUE FALSE FALSE FALSE
[5,] TRUE TRUE TRUE FALSE FALSE FALSE
[6,] TRUE TRUE TRUE FALSE FALSE FALSE
[7,] TRUE TRUE TRUE FALSE FALSE FALSE
[8,] TRUE TRUE TRUE FALSE FALSE FALSE
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[22,] TRUE TRUE TRUE FALSE FALSE FALSE
[23,] TRUE TRUE TRUE FALSE FALSE FALSE
[24,] TRUE TRUE TRUE FALSE FALSE FALSE
ShootLong HaulLat HaulLong ICESrectangle Depth Survey ICESDatabase
[1,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[2,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[3,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[4,] FALSE TRUE TRUE FALSE FALSE TRUE FALSE
[5,] FALSE TRUE TRUE FALSE FALSE TRUE FALSE
[6,] FALSE TRUE TRUE FALSE FALSE TRUE FALSE
[7,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[8,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[9,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[10,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[11,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[12,] FALSE TRUE TRUE FALSE FALSE TRUE FALSE
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[15,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[16,] FALSE TRUE TRUE FALSE FALSE TRUE FALSE
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[18,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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[22,] FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[23,] FALSE TRUE TRUE FALSE FALSE TRUE FALSE
[24,] FALSE TRUE TRUE FALSE FALSE TRUE FALSE
Country Reporting_organisation CruiseID fish_id
[1,] FALSE FALSE FALSE FALSE
[2,] FALSE FALSE FALSE FALSE
[3,] FALSE FALSE FALSE FALSE
[4,] FALSE FALSE FALSE FALSE
[5,] FALSE FALSE FALSE FALSE
[6,] FALSE FALSE FALSE FALSE
[7,] FALSE FALSE FALSE FALSE
[8,] FALSE FALSE FALSE FALSE
[9,] FALSE FALSE FALSE FALSE
[10,] FALSE FALSE FALSE FALSE
[11,] FALSE FALSE FALSE FALSE
[12,] FALSE FALSE FALSE FALSE
[13,] FALSE FALSE FALSE FALSE
[14,] FALSE FALSE FALSE FALSE
[15,] FALSE FALSE FALSE FALSE
[16,] FALSE FALSE FALSE FALSE
[17,] FALSE FALSE FALSE FALSE
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[20,] FALSE FALSE FALSE FALSE
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[22,] FALSE FALSE FALSE FALSE
[23,] FALSE FALSE FALSE FALSE
[24,] FALSE FALSE FALSE FALSEdd <- dd |>
mutate(saduria = ifelse(is.na(saduria), 0, saduria),
herring = ifelse(is.na(herring), 0, herring),
sprat = ifelse(is.na(sprat), 0, sprat))mutate: changed 5,904 values (56%) of 'sprat' (5904 fewer NA) changed 5,904 values (56%) of 'herring' (5904 fewer NA) changed 5,904 values (56%) of 'saduria' (5904 fewer NA)# Now trim the dataset a bit...
dd <- dd |>
dplyr::select(tblPredatorInformationID, tblHaulID, Year, Month, Day, Time, AphiaIDPredator,
IndWgt, pred_length, Age, Sex, saduria, sprat, herring, ShootLat,
ShootLong, ICESrectangle, Depth, Survey) |>
rename(lon = ShootLong,
lat = ShootLat) |>
janitor::clean_names() |>
rename(ices_rect = ice_srectangle)rename: renamed 2 variables (lat, lon)rename: renamed one variable (ices_rect)glimpse(dd)Rows: 10,601
Columns: 19
$ tbl_predator_information_id <dbl> 15895, 15898, 15902, 15904, 15905, 15908, …
$ tbl_haul_id <dbl> 2594, 2595, 2595, 2595, 2595, 2596, 2597, …
$ year <dbl> 2021, 2021, 2021, 2021, 2021, 2021, 2021, …
$ month <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, …
$ day <dbl> 10, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11…
$ time <chr> "1142", "0730", "0730", "0730", "0730", "0…
$ aphia_id_predator <dbl> 126436, 126436, 126436, 126436, 126436, 12…
$ ind_wgt <dbl> 541, 321, 417, 530, 650, 519, 67, 97, 95, …
$ pred_length <dbl> 40, 32, 36, 38, 41, 39, 21, 21, 22, 24, 26…
$ age <dbl> 4, 2, 2, 4, 5, 4, 2, 2, 2, 2, 3, 2, 3, 2, …
$ sex <chr> "F", "M", "M", "M", "F", "F", "M", "F", "M…
$ saduria <dbl> 0.00000, 0.00000, 0.00000, 0.00000, 0.0000…
$ sprat <dbl> 5.00, 1.00, 2.00, 11.00, 0.00, 0.00, 0.00,…
$ herring <dbl> 0, 0, 0, 0, 12, 10, 0, 0, 0, 0, 0, 0, 0, 0…
$ lat <dbl> 54.5416, 54.4117, 54.4117, 54.4117, 54.411…
$ lon <dbl> 18.9532, 19.2916, 19.2916, 19.2916, 19.291…
$ ices_rect <chr> "38G8", "37G9", "37G9", "37G9", "37G9", "3…
$ depth <dbl> 66, 41, 41, 41, 41, 33, 62, 62, 62, 62, 62…
$ survey <chr> "BITS_1Q", "BITS_1Q", "BITS_1Q", "BITS_1Q"…# Ok, now summarise and plot these data. First calculate the feeding ratio, which is the weight of prey over predator weight
unique(is.na(dd$ind_wgt))[1] FALSE TRUEunique(is.na(dd$pred_length))[1] FALSEggplot(dd, aes(ind_wgt)) +
facet_wrap(~year) +
geom_histogram()`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.Warning: Removed 466 rows containing non-finite values (`stat_bin()`).
ggplot(dd, aes(pred_length)) +
facet_wrap(~year) +
geom_histogram()`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
ggplot(dd, aes(pred_length)) +
facet_wrap(~year, scales = "free") +
geom_histogram()`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
The predator lengths in 2021 likely are in different units. But there are also negative values and 0 values! But there is no unit column in the data description (http://datsu.ices.dk/web/selRep.aspx?Dataset=157), though I see a column called Code in the data, but his only has 0 and NA. For now, I will assume cod larger than 100 cm are in fact in unit mm
dd |>
filter(year == 2021) |>
ggplot(aes(pred_length)) +
geom_histogram()filter: removed 8,918 rows (84%), 1,683 rows remaining`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
dd <- dd |> mutate(pred_length = ifelse(pred_length > 100, pred_length/10, pred_length))mutate: changed 589 values (6%) of 'pred_length' (0 new NA)dd |>
filter(year == 2021) |>
ggplot(aes(pred_length)) +
geom_histogram()filter: removed 8,918 rows (84%), 1,683 rows remaining
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
# Now calculate the weight based on length for the predators with missing weights
dd <- dd |>
mutate(ind_wgt_source = ifelse(is.na(ind_wgt), "estimated", "observed"),
ind_wgt = ifelse(is.na(ind_wgt), 0.01*pred_length^3, ind_wgt),
ind_wgt = ifelse(ind_wgt < 0, 0.01*pred_length^3, ind_wgt), # negative weights
ind_wgt = ifelse(ind_wgt == 0, 0.01*pred_length^3, ind_wgt)) # zero weights??! mutate: changed 526 values (5%) of 'ind_wgt' (466 fewer NA)
new variable 'ind_wgt_source' (character) with 2 unique values and 0% NAggplot(dd, aes(ind_wgt, pred_length, color = ind_wgt_source)) + geom_point()
ggplot(dd |> filter(year == 2021), aes(ind_wgt, pred_length, color = ind_wgt_source)) + geom_point()filter: removed 8,918 rows (84%), 1,683 rows remaining
ggplot(dd, aes(ind_wgt, pred_length, color = ind_wgt_source)) +
geom_point() +
facet_wrap(~year)
Also some suspicious predator weights here. Is the unit in kg??
ggplot(dd |> filter(year %in% c(2018, 2021)), aes(ind_wgt, pred_length, color = ind_wgt_source)) +
geom_point() +
facet_wrap(~year)filter: removed 8,390 rows (79%), 2,211 rows remaining
dd |>
filter(year %in% c(2018, 2021)) |>
arrange(ind_wgt) |>
as.data.frame()filter: removed 8,390 rows (79%), 2,211 rows remaining tbl_predator_information_id tbl_haul_id year month day time
1 29782 3033 2018 3 10 0730
2 29812 3034 2018 3 10 0954
3 29822 3035 2018 3 10 1237
4 29853 3036 2018 3 10 1525
5 30027 3042 2018 3 14 0531
6 30060 3043 2018 3 14 0747
7 30061 3043 2018 3 14 0747
8 30084 3044 2018 3 14 1114
9 30091 3044 2018 3 14 1114
10 31526 3114 2021 3 3 0850
11 31557 3116 2021 3 4 0621
12 31599 3121 2021 3 5 0852
13 31603 3122 2021 3 5 1144
14 31610 3122 2021 3 5 1144
15 31691 3126 2021 3 6 1151
16 31693 3126 2021 3 6 1151
17 31776 3131 2021 3 7 1436
18 31800 3132 2021 3 8 0622
19 31935 3137 2021 3 9 0951
20 29729 3029 2018 3 9 0905
21 29769 3032 2018 3 10 0536
22 29786 3033 2018 3 10 0730
23 29813 3034 2018 3 10 0954
24 29824 3035 2018 3 10 1237
25 29867 3036 2018 3 10 1525
26 29870 3036 2018 3 10 1525
27 29901 3037 2018 3 11 0539
28 29921 3038 2018 3 11 1406
29 29947 3039 2018 3 12 0612
30 29950 3039 2018 3 12 0612
31 29958 3040 2018 3 12 0809
32 29959 3040 2018 3 12 0809
33 29960 3040 2018 3 12 0809
34 29988 3041 2018 3 12 1336
35 29989 3041 2018 3 12 1336
36 29995 3041 2018 3 12 1336
37 29996 3041 2018 3 12 1336
38 30003 3041 2018 3 12 1336
39 30012 3041 2018 3 12 1336
40 30062 3043 2018 3 14 0747
41 30116 3045 2018 3 14 1410
42 30118 3045 2018 3 14 1410
43 30150 3046 2018 3 18 0601
44 30157 3046 2018 3 18 0601
45 30158 3046 2018 3 18 0601
46 30546 3023 2018 3 7 0547
47 30547 3023 2018 3 7 0547
48 31555 3115 2021 3 3 1139
49 31569 3120 2021 3 5 0557
50 31574 3121 2021 3 5 0852
51 31632 3123 2021 3 5 1409
52 31711 3127 2021 3 6 1446
53 31747 3128 2021 3 7 0603
54 31831 3133 2021 3 8 0849
55 31833 3133 2021 3 8 0849
56 31857 3134 2021 3 8 1054
57 31858 3134 2021 3 8 1054
58 31875 3135 2021 3 8 1237
59 31889 3135 2021 3 8 1237
60 31894 3135 2021 3 8 1237
61 31918 3136 2021 3 8 1428
62 31925 3136 2021 3 8 1428
63 31936 3137 2021 3 9 0951
64 31994 3139 2021 3 9 1535
65 32033 3140 2021 3 10 0558
66 29695 3027 2018 3 8 1502
67 29703 3027 2018 3 8 1502
68 29713 3027 2018 3 8 1502
69 29743 3030 2018 3 9 1132
70 29778 3033 2018 3 10 0730
71 29791 3033 2018 3 10 0730
72 29810 3034 2018 3 10 0954
73 29825 3035 2018 3 10 1237
74 29852 3036 2018 3 10 1525
75 29896 3037 2018 3 11 0539
76 29992 3041 2018 3 12 1336
77 30000 3041 2018 3 12 1336
78 30025 3042 2018 3 14 0531
79 30026 3042 2018 3 14 0531
80 30052 3043 2018 3 14 0747
81 30063 3043 2018 3 14 0747
82 30086 3044 2018 3 14 1114
83 30545 3023 2018 3 7 0547
84 31523 3113 2021 3 3 0634
85 31524 3114 2021 3 3 0850
86 31529 3114 2021 3 3 0850
87 31671 3124 2021 3 6 0607
88 31681 3126 2021 3 6 1151
89 31687 3126 2021 3 6 1151
90 31688 3126 2021 3 6 1151
91 31716 3127 2021 3 6 1446
92 31740 3128 2021 3 7 0603
93 31745 3128 2021 3 7 0603
94 31775 3131 2021 3 7 1436
95 31777 3131 2021 3 7 1436
96 31939 3137 2021 3 9 0951
97 31974 3138 2021 3 9 1208
98 31996 3139 2021 3 9 1535
99 32003 3139 2021 3 9 1535
100 32035 3140 2021 3 10 0558
101 29674 3024 2018 3 7 0845
102 29687 3026 2018 3 7 1513
103 29820 3035 2018 3 10 1237
104 29823 3035 2018 3 10 1237
105 29912 3038 2018 3 11 1406
106 29913 3038 2018 3 11 1406
107 29914 3038 2018 3 11 1406
108 29923 3038 2018 3 11 1406
109 29945 3039 2018 3 12 0612
110 29951 3039 2018 3 12 0612
111 29969 3040 2018 3 12 0809
112 30117 3045 2018 3 14 1410
113 30143 3046 2018 3 18 0601
114 30152 3046 2018 3 18 0601
115 31548 3114 2021 3 3 0850
116 31584 3121 2021 3 5 0852
117 31607 3122 2021 3 5 1144
118 31741 3128 2021 3 7 0603
119 31746 3128 2021 3 7 0603
120 31778 3131 2021 3 7 1436
121 31810 3132 2021 3 8 0622
122 31827 3133 2021 3 8 0849
123 31828 3133 2021 3 8 0849
124 31866 3134 2021 3 8 1054
125 31886 3135 2021 3 8 1237
126 31892 3135 2021 3 8 1237
127 31913 3136 2021 3 8 1428
128 31937 3137 2021 3 9 0951
129 31963 3138 2021 3 9 1208
130 32034 3140 2021 3 10 0558
131 32041 3140 2021 3 10 0558
132 29686 3026 2018 3 7 1513
133 29738 3030 2018 3 9 1132
134 29761 3031 2018 3 9 1425
135 29766 3032 2018 3 10 0536
136 29776 3033 2018 3 10 0730
137 29779 3033 2018 3 10 0730
138 29781 3033 2018 3 10 0730
139 29826 3035 2018 3 10 1237
140 29829 3035 2018 3 10 1237
141 29850 3036 2018 3 10 1525
142 29863 3036 2018 3 10 1525
143 29883 3037 2018 3 11 0539
144 29937 3039 2018 3 12 0612
145 29990 3041 2018 3 12 1336
146 29999 3041 2018 3 12 1336
147 30020 3042 2018 3 14 0531
148 30024 3042 2018 3 14 0531
149 30064 3043 2018 3 14 0747
150 30082 3044 2018 3 14 1114
151 30111 3045 2018 3 14 1410
152 30115 3045 2018 3 14 1410
153 30140 3045 2018 3 14 1410
154 30144 3046 2018 3 18 0601
155 30541 3023 2018 3 7 0547
156 30543 3023 2018 3 7 0547
157 30544 3023 2018 3 7 0547
158 31528 3114 2021 3 3 0850
159 31560 3116 2021 3 4 0621
160 31567 3119 2021 3 4 1243
161 31576 3121 2021 3 5 0852
162 31583 3121 2021 3 5 0852
163 31605 3122 2021 3 5 1144
164 31606 3122 2021 3 5 1144
165 31633 3123 2021 3 5 1409
166 31635 3123 2021 3 5 1409
167 31637 3123 2021 3 5 1409
168 31664 3124 2021 3 6 0607
169 31665 3124 2021 3 6 0607
170 31672 3124 2021 3 6 0607
171 31694 3126 2021 3 6 1151
172 31760 3130 2021 3 7 1136
173 31848 3134 2021 3 8 1054
174 31975 3138 2021 3 9 1208
175 31988 3139 2021 3 9 1535
176 29706 3027 2018 3 8 1502
177 29733 3030 2018 3 9 1132
178 29834 3035 2018 3 10 1237
179 29856 3036 2018 3 10 1525
180 29900 3037 2018 3 11 0539
181 29910 3038 2018 3 11 1406
182 29931 3039 2018 3 12 0612
183 29936 3039 2018 3 12 0612
184 29940 3039 2018 3 12 0612
185 29942 3039 2018 3 12 0612
186 29966 3040 2018 3 12 0809
187 29982 3040 2018 3 12 0809
188 29993 3041 2018 3 12 1336
189 30023 3042 2018 3 14 0531
190 30069 3043 2018 3 14 0747
191 30070 3043 2018 3 14 0747
192 30110 3045 2018 3 14 1410
193 30147 3046 2018 3 18 0601
194 31547 3114 2021 3 3 0850
195 31573 3120 2021 3 5 0557
196 31685 3126 2021 3 6 1151
197 31709 3127 2021 3 6 1446
198 31714 3127 2021 3 6 1446
199 31798 3132 2021 3 8 0622
200 31805 3132 2021 3 8 0622
201 31820 3133 2021 3 8 0849
202 31824 3133 2021 3 8 0849
203 31849 3134 2021 3 8 1054
204 31850 3134 2021 3 8 1054
205 31909 3136 2021 3 8 1428
206 31978 3138 2021 3 9 1208
207 32025 3140 2021 3 10 0558
208 32037 3140 2021 3 10 0558
209 32038 3140 2021 3 10 0558
210 29656 3023 2018 3 7 0547
211 29684 3026 2018 3 7 1513
212 29691 3027 2018 3 8 1502
213 29702 3027 2018 3 8 1502
214 29709 3027 2018 3 8 1502
215 29712 3027 2018 3 8 1502
216 29732 3030 2018 3 9 1132
217 29777 3033 2018 3 10 0730
218 29855 3036 2018 3 10 1525
219 29857 3036 2018 3 10 1525
220 29932 3039 2018 3 12 0612
221 29962 3040 2018 3 12 0809
222 29991 3041 2018 3 12 1336
223 30019 3042 2018 3 14 0531
224 30021 3042 2018 3 14 0531
225 30022 3042 2018 3 14 0531
226 30087 3044 2018 3 14 1114
227 30113 3045 2018 3 14 1410
228 30114 3045 2018 3 14 1410
229 30162 3046 2018 3 18 0601
230 30542 3023 2018 3 7 0547
231 31530 3114 2021 3 3 0850
232 31531 3114 2021 3 3 0850
233 31532 3114 2021 3 3 0850
234 31534 3114 2021 3 3 0850
235 31536 3114 2021 3 3 0850
236 31591 3121 2021 3 5 0852
237 31596 3121 2021 3 5 0852
238 31608 3122 2021 3 5 1144
239 31634 3123 2021 3 5 1409
240 31661 3124 2021 3 6 0607
241 31842 3134 2021 3 8 1054
242 31861 3134 2021 3 8 1054
243 31890 3135 2021 3 8 1237
244 31934 3137 2021 3 9 0951
245 31938 3137 2021 3 9 0951
246 29677 3025 2018 3 7 1257
247 29682 3026 2018 3 7 1513
248 29802 3034 2018 3 10 0954
249 29804 3034 2018 3 10 0954
250 29911 3038 2018 3 11 1406
251 29917 3038 2018 3 11 1406
252 29943 3039 2018 3 12 0612
253 29968 3040 2018 3 12 0809
254 29972 3040 2018 3 12 0809
255 30039 3042 2018 3 14 0531
256 30081 3044 2018 3 14 1114
257 30095 3044 2018 3 14 1114
258 31592 3121 2021 3 5 0852
259 31609 3122 2021 3 5 1144
260 31649 3123 2021 3 5 1409
261 31682 3126 2021 3 6 1151
262 31684 3126 2021 3 6 1151
263 31704 3127 2021 3 6 1446
264 31757 3129 2021 3 7 0857
265 31803 3132 2021 3 8 0622
266 31804 3132 2021 3 8 0622
267 31811 3132 2021 3 8 0622
268 31816 3133 2021 3 8 0849
269 31881 3135 2021 3 8 1237
270 31905 3136 2021 3 8 1428
271 32002 3139 2021 3 9 1535
272 32022 3140 2021 3 10 0558
273 29683 3026 2018 3 7 1513
274 29708 3027 2018 3 8 1502
275 29722 3029 2018 3 9 0905
276 29731 3030 2018 3 9 1132
277 29757 3030 2018 3 9 1132
278 29758 3030 2018 3 9 1132
279 29780 3033 2018 3 10 0730
280 29787 3033 2018 3 10 0730
281 29788 3033 2018 3 10 0730
282 29851 3036 2018 3 10 1525
283 29892 3037 2018 3 11 0539
284 29916 3038 2018 3 11 1406
285 29976 3040 2018 3 12 0809
286 29987 3041 2018 3 12 1336
287 30055 3043 2018 3 14 0747
288 30097 3044 2018 3 14 1114
289 30098 3044 2018 3 14 1114
290 31566 3119 2021 3 4 1243
291 31581 3121 2021 3 5 0852
292 31604 3122 2021 3 5 1144
293 31640 3123 2021 3 5 1409
294 31663 3124 2021 3 6 0607
295 31667 3124 2021 3 6 0607
296 31675 3124 2021 3 6 0607
297 31695 3126 2021 3 6 1151
298 31727 3128 2021 3 7 0603
299 31732 3128 2021 3 7 0603
300 31767 3131 2021 3 7 1436
301 31843 3134 2021 3 8 1054
302 31902 3136 2021 3 8 1428
303 31940 3137 2021 3 9 0951
304 31959 3138 2021 3 9 1208
305 31970 3138 2021 3 9 1208
306 32006 3139 2021 3 9 1535
307 32020 3140 2021 3 10 0558
308 29673 3024 2018 3 7 0845
309 29723 3029 2018 3 9 0905
310 29740 3030 2018 3 9 1132
311 29848 3035 2018 3 10 1237
312 29875 3036 2018 3 10 1525
313 29882 3037 2018 3 11 0539
314 29918 3038 2018 3 11 1406
315 29919 3038 2018 3 11 1406
316 29944 3039 2018 3 12 0612
317 29946 3039 2018 3 12 0612
318 30139 3045 2018 3 14 1410
319 31590 3121 2021 3 5 0852
320 31699 3127 2021 3 6 1446
321 31801 3132 2021 3 8 0622
322 31814 3133 2021 3 8 0849
323 31874 3135 2021 3 8 1237
324 31899 3136 2021 3 8 1428
325 32036 3140 2021 3 10 0558
326 29657 3023 2018 3 7 0547
327 29690 3027 2018 3 8 1502
328 29710 3027 2018 3 8 1502
329 29741 3030 2018 3 9 1132
330 29828 3035 2018 3 10 1237
331 29897 3037 2018 3 11 0539
332 29915 3038 2018 3 11 1406
333 30030 3042 2018 3 14 0531
334 30054 3043 2018 3 14 0747
335 30079 3043 2018 3 14 0747
336 30088 3044 2018 3 14 1114
337 30112 3045 2018 3 14 1410
338 30129 3045 2018 3 14 1410
339 30155 3046 2018 3 18 0601
340 31559 3116 2021 3 4 0621
341 31563 3118 2021 3 4 1017
342 31564 3118 2021 3 4 1017
343 31578 3121 2021 3 5 0852
344 31579 3121 2021 3 5 0852
345 31582 3121 2021 3 5 0852
346 31602 3122 2021 3 5 1144
347 31629 3123 2021 3 5 1409
348 31676 3124 2021 3 6 0607
349 31680 3126 2021 3 6 1151
350 31722 3127 2021 3 6 1446
351 31743 3128 2021 3 7 0603
352 31756 3129 2021 3 7 0857
353 31769 3131 2021 3 7 1436
354 31796 3132 2021 3 8 0622
355 31871 3135 2021 3 8 1237
356 31885 3135 2021 3 8 1237
357 31906 3136 2021 3 8 1428
358 31979 3138 2021 3 9 1208
359 31986 3139 2021 3 9 1535
360 32026 3140 2021 3 10 0558
361 29676 3025 2018 3 7 1257
362 29678 3025 2018 3 7 1257
363 29935 3039 2018 3 12 0612
364 29953 3040 2018 3 12 0809
365 29967 3040 2018 3 12 0809
366 30028 3042 2018 3 14 0531
367 30053 3043 2018 3 14 0747
368 30148 3046 2018 3 18 0601
369 30154 3046 2018 3 18 0601
370 31545 3114 2021 3 3 0850
371 31701 3127 2021 3 6 1446
372 31908 3136 2021 3 8 1428
373 29655 3023 2018 3 7 0547
374 29737 3030 2018 3 9 1132
375 29827 3035 2018 3 10 1237
376 29858 3036 2018 3 10 1525
377 29860 3036 2018 3 10 1525
378 29881 3037 2018 3 11 0539
379 29920 3038 2018 3 11 1406
380 29933 3039 2018 3 12 0612
381 29955 3040 2018 3 12 0809
382 30005 3041 2018 3 12 1336
383 30041 3042 2018 3 14 0531
384 30059 3043 2018 3 14 0747
385 31537 3114 2021 3 3 0850
386 31577 3121 2021 3 5 0852
387 31580 3121 2021 3 5 0852
388 31601 3122 2021 3 5 1144
389 31660 3124 2021 3 6 0607
390 31766 3131 2021 3 7 1436
391 31931 3137 2021 3 9 0951
392 31981 3138 2021 3 9 1208
393 31985 3139 2021 3 9 1535
394 32008 3139 2021 3 9 1535
395 29847 3035 2018 3 10 1237
396 29893 3037 2018 3 11 0539
397 30043 3042 2018 3 14 0531
398 30044 3042 2018 3 14 0531
399 30149 3046 2018 3 18 0601
400 30161 3046 2018 3 18 0601
401 31552 3114 2021 3 3 0850
402 31630 3123 2021 3 5 1409
403 31658 3124 2021 3 6 0607
404 31700 3127 2021 3 6 1446
405 31793 3132 2021 3 8 0622
406 31795 3132 2021 3 8 0622
407 31822 3133 2021 3 8 0849
408 32021 3140 2021 3 10 0558
409 29902 3037 2018 3 11 0539
410 29963 3040 2018 3 12 0809
411 30006 3041 2018 3 12 1336
412 30029 3042 2018 3 14 0531
413 30051 3043 2018 3 14 0747
414 30056 3043 2018 3 14 0747
415 30089 3044 2018 3 14 1114
416 30127 3045 2018 3 14 1410
417 30153 3046 2018 3 18 0601
418 31535 3114 2021 3 3 0850
419 31589 3121 2021 3 5 0852
420 31662 3124 2021 3 6 0607
421 31686 3126 2021 3 6 1151
422 31729 3128 2021 3 7 0603
423 31761 3131 2021 3 7 1436
424 31845 3134 2021 3 8 1054
425 31982 3138 2021 3 9 1208
426 32017 3140 2021 3 10 0558
427 29939 3039 2018 3 12 0612
428 29956 3040 2018 3 12 0809
429 29711 3027 2018 3 8 1502
430 29736 3030 2018 3 9 1132
431 29821 3035 2018 3 10 1237
432 29861 3036 2018 3 10 1525
433 29898 3037 2018 3 11 0539
434 30058 3043 2018 3 14 0747
435 30163 3046 2018 3 18 0601
436 31648 3123 2021 3 5 1409
437 31808 3132 2021 3 8 0622
438 31823 3133 2021 3 8 0849
439 31841 3134 2021 3 8 1054
440 31910 3136 2021 3 8 1428
441 31930 3137 2021 3 9 0951
442 29668 3024 2018 3 7 0845
443 29957 3040 2018 3 12 0809
444 30146 3046 2018 3 18 0601
445 29681 3026 2018 3 7 1513
446 29734 3030 2018 3 9 1132
447 29735 3030 2018 3 9 1132
448 29742 3030 2018 3 9 1132
449 29965 3040 2018 3 12 0809
450 30031 3042 2018 3 14 0531
451 31612 3122 2021 3 5 1144
452 31790 3132 2021 3 8 0622
453 31794 3132 2021 3 8 0622
454 17106 2680 2021 2 26 1012
455 30071 3043 2018 3 14 0747
456 31697 3127 2021 3 6 1446
457 31781 3131 2021 3 7 1436
458 32007 3139 2021 3 9 1535
459 29790 3033 2018 3 10 0730
460 30065 3043 2018 3 14 0747
461 30085 3044 2018 3 14 1114
462 31659 3124 2021 3 6 0607
463 31792 3132 2021 3 8 0622
464 31932 3137 2021 3 9 0951
465 31980 3138 2021 3 9 1208
466 29859 3036 2018 3 10 1525
467 30001 3041 2018 3 12 1336
468 30002 3041 2018 3 12 1336
469 31903 3136 2021 3 8 1428
470 30057 3043 2018 3 14 0747
471 31789 3132 2021 3 8 0622
472 31898 3136 2021 3 8 1428
473 31933 3137 2021 3 9 0951
474 29961 3040 2018 3 12 0809
475 31791 3132 2021 3 8 0622
476 32044 3140 2021 3 10 0558
477 30077 3043 2018 3 14 0747
478 31879 3135 2021 3 8 1237
479 31862 3134 2021 3 8 1054
480 30166 3046 2018 3 18 0601
481 31533 3114 2021 3 3 0850
482 30164 3046 2018 3 18 0601
483 31600 3122 2021 3 5 1144
484 16697 2660 2021 2 21 0901
485 17032 2675 2021 2 25 0833
486 17033 2675 2021 2 25 0833
487 17064 2676 2021 2 25 1133
488 17065 2676 2021 2 25 1133
489 17105 2680 2021 2 26 1012
490 17108 2680 2021 2 26 1012
491 17199 2693 2021 3 2 0947
492 17200 2693 2021 3 2 0947
493 30004 3041 2018 3 12 1336
494 17066 2676 2021 2 25 1133
495 17097 2679 2021 2 26 0832
496 17102 2679 2021 2 26 0832
497 17103 2680 2021 2 26 1012
498 17107 2680 2021 2 26 1012
499 17167 2689 2021 3 1 0642
500 17201 2693 2021 3 2 0947
501 17215 2694 2021 3 2 1207
502 17216 2694 2021 3 2 1207
503 16813 2664 2021 2 22 0633
504 16840 2666 2021 2 22 1058
505 17034 2675 2021 2 25 0833
506 17035 2675 2021 2 25 0833
507 17067 2676 2021 2 25 1133
508 17104 2680 2021 2 26 1012
509 17202 2693 2021 3 2 0947
510 17099 2679 2021 2 26 0832
511 16839 2666 2021 2 22 1058
512 17068 2676 2021 2 25 1133
513 17098 2679 2021 2 26 0832
514 17109 2680 2021 2 26 1012
515 17113 2681 2021 2 26 1221
516 17158 2688 2021 2 28 1257
517 17224 2696 2021 3 3 1038
518 17069 2676 2021 2 25 1133
519 17100 2679 2021 2 26 0832
520 17203 2693 2021 3 2 0947
521 29775 3032 2018 3 10 0536
522 29985 3041 2018 3 12 1336
523 17110 2680 2021 2 26 1012
524 32345 3156 2021 3 14 1226
525 17091 2677 2021 2 25 1338
526 17101 2679 2021 2 26 0832
527 16519 2636 2021 11 18 1146
528 16618 2656 2021 2 20 0844
529 16993 2672 2021 2 24 1006
530 32344 3156 2021 3 14 1226
531 16638 2657 2021 2 20 1059
532 29772 3032 2018 3 10 0536
533 29984 3041 2018 3 12 1336
534 30122 3045 2018 3 14 1410
535 30167 3046 2018 3 18 0601
536 16842 2666 2021 2 22 1058
537 16882 2668 2021 2 23 0624
538 16546 2641 2021 11 21 1151
539 16388 2626 2021 11 14 0926
540 16464 2631 2021 11 17 0737
541 16494 2634 2021 11 18 0742
542 16778 2663 2021 2 21 1521
543 16812 2664 2021 2 22 0633
544 16717 2661 2021 2 21 1107
545 16841 2666 2021 2 22 1058
546 31839 3133 2021 3 8 0849
547 16698 2660 2021 2 21 0901
548 15995 2598 2021 2 12 0740
549 16581 2647 2021 11 25 0756
550 16551 2643 2021 11 22 1420
551 16718 2661 2021 2 21 1107
552 16992 2672 2021 2 24 1006
553 17089 2677 2021 2 25 1338
554 15994 2598 2021 2 12 0740
555 17017 2673 2021 2 24 1417
556 30408 3056 2018 3 21 0909
557 15996 2598 2021 2 12 0740
558 16858 2666 2021 2 22 1058
559 16919 2669 2021 2 23 1203
560 17193 2692 2021 3 2 0628
561 16122 2606 2021 2 15 0915
562 16696 2660 2021 2 21 0901
563 16810 2664 2021 2 22 0633
564 16835 2665 2021 2 22 0908
565 17048 2675 2021 2 25 0833
566 17096 2679 2021 2 26 0832
567 17192 2692 2021 3 2 0628
568 16595 2650 2021 11 26 0848
569 16903 2668 2021 2 23 0624
570 16979 2672 2021 2 24 1006
571 17030 2674 2021 2 25 0619
572 17147 2687 2021 2 28 0855
573 16469 2632 2021 11 17 0946
574 29714 3027 2018 3 8 1502
575 29819 3034 2018 3 10 0954
576 30007 3041 2018 3 12 1336
577 30280 3051 2018 3 19 0837
578 30409 3056 2018 3 21 0909
579 30484 3059 2018 3 22 0842
580 31720 3127 2021 3 6 1446
581 32420 3160 2021 3 15 1431
582 16749 2662 2021 2 21 1339
583 16811 2664 2021 2 22 0633
584 16940 2670 2021 2 23 1451
585 17016 2673 2021 2 24 1417
586 17046 2675 2021 2 25 0833
587 17139 2686 2021 2 28 0638
588 15997 2598 2021 2 12 0740
589 16945 2670 2021 2 23 1451
590 17176 2690 2021 3 1 0826
591 16616 2656 2021 2 20 0844
592 16587 2649 2021 11 25 1249
593 16617 2656 2021 2 20 0844
594 16634 2657 2021 2 20 1059
595 16855 2666 2021 2 22 1058
596 16991 2672 2021 2 24 1006
597 17088 2677 2021 2 25 1338
598 17003 2673 2021 2 24 1417
599 17183 2692 2021 3 2 0628
600 16720 2661 2021 2 21 1107
601 17063 2676 2021 2 25 1133
602 16008 2599 2021 2 12 0950
603 16658 2659 2021 2 20 1519
604 16747 2662 2021 2 21 1339
605 16853 2666 2021 2 22 1058
606 16917 2669 2021 2 23 1203
607 17087 2677 2021 2 25 1338
608 29831 3035 2018 3 10 1237
609 30121 3045 2018 3 14 1410
610 30200 3047 2018 3 18 1007
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1971 16219 2607 2021 2 16 1245
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1971 126436 667.00 44 4 F 0.00000 7.000000
1972 126436 668.00 42 2 M 0.00000 0.000000
1973 126436 670.00 41 3 F 0.00000 6.000000
1974 126436 672.00 42 2 M 0.00000 0.000000
1975 126436 674.00 42 3 F 0.00000 0.000000
1976 126436 678.00 40 4 F 0.00000 0.000000
1977 126436 679.00 44 4 F 0.00000 0.000000
1978 126436 683.00 40 3 M 0.00000 0.000000
1979 126436 684.00 45 4 F 0.00000 0.000000
1980 126436 685.00 44 4 M 0.00000 0.000000
1981 126436 689.21 41 NA M 0.00000 0.000000
1982 126436 689.21 41 NA F 0.00000 10628.820000
1983 126436 689.21 41 NA M 0.00000 5.000000
1984 126436 689.21 41 0 F 0.00000 0.000000
1985 126436 689.21 41 0 F 0.00000 7.000000
1986 126436 689.21 41 0 M 0.00000 23.000000
1987 126436 689.21 41 0 F 0.00000 7.000000
1988 126436 689.21 41 0 F 0.00000 1.000000
1989 126436 689.21 41 0 F 0.00000 0.000000
1990 126436 689.21 41 NA M 0.00000 0.000000
1991 126436 689.21 41 NA M 0.00000 0.000000
1992 126436 689.21 41 0 F 0.00000 0.000000
1993 126436 689.21 41 0 F 0.00000 0.000000
1994 126436 689.21 41 0 F 0.00000 0.000000
1995 126436 689.21 41 0 F 0.00000 0.000000
1996 126436 697.00 42 4 M 0.00000 0.000000
1997 126436 700.00 45 3 F 0.00000 15.000000
1998 126436 704.00 42 5 F 0.00000 0.000000
1999 126436 707.00 42 5 F 0.00000 0.000000
2000 126436 708.00 41 4 F 0.00000 9.000000
2001 126436 709.00 43 4 M 0.00000 10.000000
2002 126436 710.00 43 4 M 0.00000 0.000000
2003 126436 711.00 43 7 M 0.00000 0.000000
2004 126436 716.00 43 2 F 0.00000 0.000000
2005 126436 720.00 43 3 F 0.00000 9.000000
2006 126436 720.00 43 3 F 0.00000 43.000000
2007 126436 725.00 42 4 M 0.00000 0.000000
2008 126436 729.00 45 3 F 0.00000 0.000000
2009 126436 730.00 43 3 M 0.00000 5.000000
2010 126436 732.00 44 5 F 0.00000 4.000000
2011 126436 733.00 44 4 F 0.00000 2165.000000
2012 126436 737.00 43 4 M 0.00000 11.000000
2013 126436 740.00 43 5 F 0.00000 36.000000
2014 126436 740.00 43 4 M 0.00000 0.000000
2015 126436 740.88 42 NA F 0.00000 5.000000
2016 126436 740.88 42 NA F 0.00000 0.000000
2017 126436 740.88 42 NA M 0.00000 4.000000
2018 126436 740.88 42 NA F 0.00000 1.000000
2019 126436 740.88 42 0 F 0.00000 10.000000
2020 126436 740.88 42 0 F 0.00000 16.000000
2021 126436 740.88 42 0 F 0.00000 16.000000
2022 126436 740.88 42 0 F 0.00000 33.000000
2023 126436 740.88 42 NA F 0.00000 0.000000
2024 126436 740.88 42 NA F 0.00000 0.000000
2025 126436 740.88 42 NA M 0.00000 0.000000
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2027 126436 740.88 42 0 M 0.00000 0.000000
2028 126436 740.88 42 0 F 0.00000 0.000000
2029 126436 743.00 43 4 M 0.00000 7.000000
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2031 126436 747.00 49 4 F 0.00000 0.000000
2032 126436 749.00 45 3 M 0.00000 0.000000
2033 126436 750.00 44 3 F 0.00000 0.000000
2034 126436 752.00 43 3 M 0.00000 28.000000
2035 126436 752.00 43 2 F 3.40943 0.000000
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2070 126436 814.00 46 4 F 0.00000 0.000000
2071 126436 817.00 44 4 F 0.00000 0.000000
2072 126436 818.00 43 3 F 0.00000 4.000000
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2074 126436 823.00 46 4 F 0.00000 0.000000
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2076 126436 830.00 44 4 F 0.00000 0.000000
2077 126436 834.00 47 4 F 0.00000 0.000000
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2080 126436 851.84 44 NA M 0.00000 0.000000
2081 126436 851.84 44 NA F 3.40943 0.000000
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2087 126436 851.84 44 NA F 0.00000 0.000000
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2100 126436 872.00 45 4 F 0.00000 0.000000
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2108 126436 911.25 45 NA F 2.00000 0.000000
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2110 126436 911.25 45 0 M 0.00000 5.000000
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2112 126436 911.25 45 0 F 0.00000 5.000000
2113 126436 911.25 45 0 M 0.00000 4.000000
2114 126436 911.25 45 0 F 0.00000 27.000000
2115 126436 911.25 45 NA M 0.00000 0.000000
2116 126436 912.00 43 5 F 0.00000 7.000000
2117 126436 912.00 45 4 M 0.00000 0.000000
2118 126436 921.00 50 4 F 3.00000 0.000000
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2120 126436 933.00 48 5 F 0.00000 0.000000
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2122 126436 944.00 44 3 F 3.40943 0.000000
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2124 126436 951.00 45 5 F 0.00000 13.000000
2125 126436 955.00 46 4 F 0.00000 22.000000
2126 126436 972.00 47 5 F 0.00000 0.000000
2127 126436 973.36 46 NA M 0.00000 10.000000
2128 126436 973.36 46 NA F 0.00000 0.000000
2129 126436 973.36 46 NA F 0.00000 8.000000
2130 126436 973.36 46 0 M 0.00000 30.000000
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2141 126436 1007.00 49 4 M 0.00000 0.000000
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2161 126436 1104.00 53 4 F 0.00000 0.000000
2162 126436 1105.92 48 0 F 0.00000 7.000000
2163 126436 1105.92 48 0 M 0.00000 21.000000
2164 126436 1105.92 48 NA F 0.00000 0.000000
2165 126436 1105.92 48 NA M 0.00000 0.000000
2166 126436 1105.92 48 0 F 0.00000 0.000000
2167 126436 1113.00 48 5 M 0.00000 84.000000
2168 126436 1122.00 50 5 F 0.00000 22.000000
2169 126436 1140.00 46 3 F 0.00000 0.000000
2170 126436 1152.00 51 4 F 0.00000 1.000000
2171 126436 1164.00 53 8 M 0.00000 0.000000
2172 126436 1172.00 53 5 M 0.00000 0.000000
2173 126436 1176.49 49 NA M 0.00000 14.000000
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2200 126436 1600.00 55 4 F 0.00000 0.000000
2201 126436 1641.00 57 4 F 0.00000 0.000000
2202 126436 1663.75 55 0 F 0.00000 0.000000
2203 126436 1675.00 57 5 F 0.00000 40.000000
2204 126436 1792.00 60 6 F 0.00000 64.000000
2205 126436 1800.00 58 5 F 0.00000 0.000000
2206 126436 1851.93 57 NA F 0.00000 0.000000
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2208 126436 1951.12 58 0 F 0.00000 0.000000
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herring lat lon ices_rect depth survey ind_wgt_source
1 0.00000 55.7197 16.6420 40G6 55 BITS observed
2 0.00000 55.7257 16.6766 40G6 52 BITS observed
3 0.00000 55.6334 16.6902 40G6 54 BITS observed
4 0.00000 55.5818 16.4355 40G6 67 BITS observed
5 0.00000 54.6848 15.6335 38G5 66 BITS observed
6 0.00000 54.8378 15.4550 38G5 72 BITS observed
7 0.00000 54.8378 15.4550 38G5 72 BITS observed
8 0.00000 54.8018 15.3127 38G5 69 BITS observed
9 0.00000 54.8018 15.3127 38G5 69 BITS observed
10 0.00000 55.6627 15.2316 40G5 68 BITS observed
11 0.00000 55.5677 15.5794 40G5 72 BITS observed
12 0.00000 55.7060 16.1792 40G6 67 BITS observed
13 0.00000 55.5833 16.4263 40G6 67 BITS observed
14 0.00000 55.5833 16.4263 40G6 67 BITS observed
15 0.00000 55.1582 16.0648 39G6 87 BITS observed
16 0.00000 55.1582 16.0648 39G6 87 BITS observed
17 0.00000 54.8859 15.2944 38G5 71 BITS observed
18 0.00000 54.4331 15.1433 37G5 32 BITS observed
19 0.00000 54.7980 15.3104 38G5 69 BITS observed
20 0.00000 56.3419 18.4319 41G8 41 BITS observed
21 0.00000 55.8016 16.6930 40G6 48 BITS observed
22 0.00000 55.7197 16.6420 40G6 55 BITS observed
23 0.00000 55.7257 16.6766 40G6 52 BITS observed
24 0.00000 55.6334 16.6902 40G6 54 BITS observed
25 0.00000 55.5818 16.4355 40G6 67 BITS observed
26 0.00000 55.5818 16.4355 40G6 67 BITS observed
27 0.00000 55.3840 16.3190 39G6 70 BITS observed
28 0.00000 55.0882 15.5054 39G5 72 BITS observed
29 0.00000 54.5778 14.7005 38G4 38 BITS observed
30 0.00000 54.5778 14.7005 38G4 38 BITS observed
31 0.00000 54.6867 14.8081 38G4 53 BITS observed
32 0.00000 54.6867 14.8081 38G4 53 BITS observed
33 0.00000 54.6867 14.8081 38G4 53 BITS observed
34 0.00000 54.8819 15.1104 38G5 60 BITS observed
35 0.00000 54.8819 15.1104 38G5 60 BITS observed
36 0.00000 54.8819 15.1104 38G5 60 BITS observed
37 0.00000 54.8819 15.1104 38G5 60 BITS observed
38 0.00000 54.8819 15.1104 38G5 60 BITS observed
39 0.00000 54.8819 15.1104 38G5 60 BITS observed
40 0.00000 54.8378 15.4550 38G5 72 BITS observed
41 0.00000 54.7297 14.9712 38G4 60 BITS observed
42 0.00000 54.7297 14.9712 38G4 60 BITS observed
43 0.00000 54.6178 14.7794 38G4 46 BITS observed
44 0.00000 54.6178 14.7794 38G4 46 BITS observed
45 0.00000 54.6178 14.7794 38G4 46 BITS observed
46 0.00000 55.7819 17.6968 40G7 57 BITS observed
47 0.00000 55.7819 17.6968 40G7 57 BITS observed
48 0.00000 55.4915 15.2596 39G5 83 BITS observed
49 0.00000 55.8731 16.4265 40G6 52 BITS observed
50 0.00000 55.7060 16.1792 40G6 67 BITS observed
51 0.00000 55.3767 16.3191 39G6 71 BITS observed
52 0.00000 55.1135 16.3858 39G6 62 BITS observed
53 0.00000 55.1030 15.2665 39G5 67 BITS observed
54 0.00000 54.5405 15.4449 38G5 58 BITS observed
55 0.00000 54.5405 15.4449 38G5 58 BITS observed
56 0.00000 54.4572 15.6031 37G5 53 BITS observed
57 0.00000 54.4572 15.6031 37G5 53 BITS observed
58 0.00000 54.5405 15.7667 38G5 56 BITS observed
59 0.00000 54.5405 15.7667 38G5 56 BITS observed
60 0.00000 54.5405 15.7667 38G5 56 BITS observed
61 0.00000 54.5686 15.6684 38G5 59 BITS observed
62 0.00000 54.5686 15.6684 38G5 59 BITS observed
63 0.00000 54.7980 15.3104 38G5 69 BITS observed
64 0.00000 54.7984 15.8695 38G5 64 BITS observed
65 0.00000 54.5394 15.9982 38G5 47 BITS observed
66 0.00000 56.3842 18.5857 41G8 75 BITS observed
67 0.00000 56.3842 18.5857 41G8 75 BITS observed
68 0.00000 56.3842 18.5857 41G8 75 BITS observed
69 0.00000 56.1629 18.3359 41G8 75 BITS observed
70 29.00000 55.7197 16.6420 40G6 55 BITS observed
71 0.00000 55.7197 16.6420 40G6 55 BITS observed
72 0.00000 55.7257 16.6766 40G6 52 BITS observed
73 0.00000 55.6334 16.6902 40G6 54 BITS observed
74 0.00000 55.5818 16.4355 40G6 67 BITS observed
75 0.00000 55.3840 16.3190 39G6 70 BITS observed
76 0.00000 54.8819 15.1104 38G5 60 BITS observed
77 0.00000 54.8819 15.1104 38G5 60 BITS observed
78 0.00000 54.6848 15.6335 38G5 66 BITS observed
79 0.00000 54.6848 15.6335 38G5 66 BITS observed
80 0.00000 54.8378 15.4550 38G5 72 BITS observed
81 0.00000 54.8378 15.4550 38G5 72 BITS observed
82 0.00000 54.8018 15.3127 38G5 69 BITS observed
83 0.00000 55.7819 17.6968 40G7 57 BITS observed
84 0.00000 55.5775 15.0629 40G5 80 BITS observed
85 0.00000 55.6627 15.2316 40G5 68 BITS observed
86 0.00000 55.6627 15.2316 40G5 68 BITS observed
87 0.00000 55.3125 16.1781 39G6 82 BITS observed
88 0.00000 55.1582 16.0648 39G6 87 BITS observed
89 0.00000 55.1582 16.0648 39G6 87 BITS observed
90 0.00000 55.1582 16.0648 39G6 87 BITS observed
91 0.00000 55.1135 16.3858 39G6 62 BITS observed
92 0.00000 55.1030 15.2665 39G5 67 BITS observed
93 0.00000 55.1030 15.2665 39G5 67 BITS observed
94 0.00000 54.8859 15.2944 38G5 71 BITS observed
95 0.00000 54.8859 15.2944 38G5 71 BITS observed
96 0.00000 54.7980 15.3104 38G5 69 BITS observed
97 0.00000 54.6655 15.5757 38G5 66 BITS observed
98 0.00000 54.7984 15.8695 38G5 64 BITS observed
99 0.00000 54.7984 15.8695 38G5 64 BITS observed
100 0.00000 54.5394 15.9982 38G5 47 BITS observed
101 0.00000 56.0690 17.3676 41G7 41 BITS observed
102 0.00000 56.2336 17.8647 41G7 47 BITS observed
103 0.00000 55.6334 16.6902 40G6 54 BITS observed
104 0.00000 55.6334 16.6902 40G6 54 BITS observed
105 0.00000 55.0882 15.5054 39G5 72 BITS observed
106 0.00000 55.0882 15.5054 39G5 72 BITS observed
107 0.00000 55.0882 15.5054 39G5 72 BITS observed
108 0.00000 55.0882 15.5054 39G5 72 BITS observed
109 0.00000 54.5778 14.7005 38G4 38 BITS observed
110 0.00000 54.5778 14.7005 38G4 38 BITS observed
111 0.00000 54.6867 14.8081 38G4 53 BITS observed
112 0.00000 54.7297 14.9712 38G4 60 BITS observed
113 0.00000 54.6178 14.7794 38G4 46 BITS observed
114 0.00000 54.6178 14.7794 38G4 46 BITS observed
115 0.00000 55.6627 15.2316 40G5 68 BITS observed
116 0.00000 55.7060 16.1792 40G6 67 BITS observed
117 0.00000 55.5833 16.4263 40G6 67 BITS observed
118 0.00000 55.1030 15.2665 39G5 67 BITS observed
119 0.00000 55.1030 15.2665 39G5 67 BITS observed
120 0.00000 54.8859 15.2944 38G5 71 BITS observed
121 0.00000 54.4331 15.1433 37G5 32 BITS observed
122 0.00000 54.5405 15.4449 38G5 58 BITS observed
123 0.00000 54.5405 15.4449 38G5 58 BITS observed
124 0.00000 54.4572 15.6031 37G5 53 BITS observed
125 0.00000 54.5405 15.7667 38G5 56 BITS observed
126 0.00000 54.5405 15.7667 38G5 56 BITS observed
127 0.00000 54.5686 15.6684 38G5 59 BITS observed
128 0.00000 54.7980 15.3104 38G5 69 BITS observed
129 0.00000 54.6655 15.5757 38G5 66 BITS observed
130 0.00000 54.5394 15.9982 38G5 47 BITS observed
131 0.00000 54.5394 15.9982 38G5 47 BITS observed
132 0.00000 56.2336 17.8647 41G7 47 BITS observed
133 22.00000 56.1629 18.3359 41G8 75 BITS observed
134 0.00000 56.0790 17.7722 41G7 63 BITS observed
135 0.00000 55.8016 16.6930 40G6 48 BITS observed
136 0.00000 55.7197 16.6420 40G6 55 BITS observed
137 0.00000 55.7197 16.6420 40G6 55 BITS observed
138 0.00000 55.7197 16.6420 40G6 55 BITS observed
139 0.00000 55.6334 16.6902 40G6 54 BITS observed
140 0.00000 55.6334 16.6902 40G6 54 BITS observed
141 0.00000 55.5818 16.4355 40G6 67 BITS observed
142 0.00000 55.5818 16.4355 40G6 67 BITS observed
143 0.00000 55.3840 16.3190 39G6 70 BITS observed
144 0.00000 54.5778 14.7005 38G4 38 BITS observed
145 0.00000 54.8819 15.1104 38G5 60 BITS observed
146 0.00000 54.8819 15.1104 38G5 60 BITS observed
147 0.00000 54.6848 15.6335 38G5 66 BITS observed
148 0.00000 54.6848 15.6335 38G5 66 BITS observed
149 9.00000 54.8378 15.4550 38G5 72 BITS observed
150 0.00000 54.8018 15.3127 38G5 69 BITS observed
151 0.00000 54.7297 14.9712 38G4 60 BITS observed
152 0.00000 54.7297 14.9712 38G4 60 BITS observed
153 7.00000 54.7297 14.9712 38G4 60 BITS observed
154 0.00000 54.6178 14.7794 38G4 46 BITS observed
155 0.00000 55.7819 17.6968 40G7 57 BITS observed
156 0.00000 55.7819 17.6968 40G7 57 BITS observed
157 0.00000 55.7819 17.6968 40G7 57 BITS observed
158 0.00000 55.6627 15.2316 40G5 68 BITS observed
159 0.00000 55.5677 15.5794 40G5 72 BITS observed
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549 0.00000 54.9117 18.6116 38G8 48 BITS_4Q observed
550 0.00000 56.3917 18.5100 41G8 44 BITS_4Q observed
551 0.00000 55.2683 13.7231 39G3 40 BITS observed
552 0.00000 56.2235 18.4295 41G8 70 BITS observed
553 0.00000 57.3151 19.1036 43G9 75 BITS observed
554 0.00000 54.6766 18.8150 38G8 65 BITS_1Q observed
555 0.00000 56.3877 18.6029 41G8 77 BITS observed
556 0.00000 55.8217 16.4630 40G6 57 BITS estimated
557 0.00000 54.6766 18.8150 38G8 65 BITS_1Q observed
558 0.00000 55.6987 14.8644 40G4 53 BITS observed
559 0.00000 55.8023 15.8025 40G5 55 BITS observed
560 0.00000 56.4696 18.6857 41G8 75 BITS observed
561 0.00000 54.6850 16.5982 38G6 29 BITS_1Q observed
562 0.00000 55.2117 13.5916 39G3 44 BITS observed
563 0.00000 55.4585 14.4779 39G4 55 BITS observed
564 0.00000 55.6409 14.6905 40G4 61 BITS observed
565 0.00000 57.1668 18.8292 43G8 49 BITS observed
566 0.00000 57.8581 19.4743 44G9 68 BITS observed
567 0.00000 56.4696 18.6857 41G8 75 BITS observed
568 0.00000 54.9099 18.6050 38G8 47 BITS_4Q observed
569 0.00000 55.7042 14.3838 40G4 38 BITS observed
570 0.00000 56.2235 18.4295 41G8 70 BITS observed
571 0.00000 57.0454 18.8251 43G8 67 BITS observed
572 0.00000 57.1257 17.2895 43G7 72 BITS observed
573 0.00000 54.9949 18.5117 38G8 70 BITS_4Q observed
574 0.00000 56.3842 18.5857 41G8 75 BITS observed
575 0.00000 55.7257 16.6766 40G6 52 BITS observed
576 0.00000 54.8819 15.1104 38G5 60 BITS observed
577 0.00000 55.0439 15.2218 39G5 53 BITS estimated
578 0.00000 55.8217 16.4630 40G6 57 BITS estimated
579 0.00000 55.2015 15.2070 39G5 61 BITS estimated
580 0.00000 55.1135 16.3858 39G6 62 BITS observed
581 0.00000 55.6342 16.6898 40G6 55 BITS estimated
582 0.00000 55.2875 13.9220 39G3 37 BITS observed
583 0.00000 55.4585 14.4779 39G4 55 BITS observed
584 0.00000 55.8350 15.9437 40G5 56 BITS observed
585 0.00000 56.3877 18.6029 41G8 77 BITS observed
586 0.00000 57.1668 18.8292 43G8 49 BITS observed
587 0.00000 57.3442 17.4202 43G7 72 BITS observed
588 0.00000 54.6766 18.8150 38G8 65 BITS_1Q observed
589 0.00000 55.8350 15.9437 40G5 56 BITS observed
590 0.00000 56.6937 16.9987 42G6 67 BITS observed
591 0.00000 55.8706 16.0675 40G6 55 BITS observed
592 0.00000 54.7783 18.7133 38G8 46 BITS_4Q observed
593 0.00000 55.8706 16.0675 40G6 55 BITS observed
594 0.00000 55.7965 15.9501 40G5 61 BITS observed
595 0.00000 55.6987 14.8644 40G4 53 BITS observed
596 0.00000 56.2235 18.4295 41G8 70 BITS observed
597 0.00000 57.3151 19.1036 43G9 75 BITS observed
598 0.00000 56.3877 18.6029 41G8 77 BITS observed
599 0.00000 56.4696 18.6857 41G8 75 BITS observed
600 0.00000 55.2683 13.7231 39G3 40 BITS observed
601 0.00000 57.3014 19.0523 43G9 67 BITS observed
602 0.00000 54.7282 18.7566 38G8 57 BITS_1Q observed
603 0.00000 55.7648 15.4275 40G5 62 BITS observed
604 0.00000 55.2875 13.9220 39G3 37 BITS observed
605 0.00000 55.6987 14.8644 40G4 53 BITS observed
606 0.00000 55.8023 15.8025 40G5 55 BITS observed
607 0.00000 57.3151 19.1036 43G9 75 BITS observed
608 0.00000 55.6334 16.6902 40G6 54 BITS observed
609 0.00000 54.7297 14.9712 38G4 60 BITS observed
610 0.00000 54.8055 15.0000 38G4 56 BITS estimated
611 0.00000 55.0439 15.2218 39G5 53 BITS estimated
612 0.00000 55.8096 16.5375 40G6 56 BITS estimated
613 0.00000 55.8365 16.1963 40G6 57 BITS estimated
614 0.00000 55.1081 15.2696 39G5 66 BITS estimated
615 0.00000 55.2015 15.2070 39G5 61 BITS estimated
616 0.00000 54.5405 15.4449 38G5 58 BITS observed
617 0.00000 54.5405 15.7667 38G5 56 BITS observed
618 0.00000 54.5394 15.9982 38G5 47 BITS observed
619 0.00000 54.7980 16.0078 38G6 52 BITS estimated
620 0.00000 55.6342 16.6898 40G6 55 BITS estimated
621 0.00000 54.4399 19.0350 37G9 56 BITS_4Q observed
622 0.00000 55.2117 13.5916 39G3 44 BITS observed
623 0.00000 55.2117 13.5916 39G3 44 BITS observed
624 0.00000 55.7013 14.3595 40G4 33 BITS observed
625 0.00000 56.4033 18.6099 41G8 75 BITS_4Q observed
626 0.00000 57.0454 18.8251 43G8 67 BITS observed
627 0.00000 54.6766 18.8150 38G8 65 BITS_1Q observed
628 0.00000 55.0482 18.3350 39G8 68 BITS_4Q observed
629 0.00000 55.7965 15.9501 40G5 61 BITS observed
630 0.00000 55.7648 15.4275 40G5 62 BITS observed
631 0.00000 56.1428 18.3211 41G8 75 BITS observed
632 0.00000 57.3442 17.4202 43G7 72 BITS observed
633 0.00000 54.4399 19.0350 37G9 56 BITS_4Q observed
634 0.00000 55.6300 18.5483 40G8 97 BITS_1Q observed
635 0.00000 54.8367 18.5117 38G8 22 BITS_4Q observed
636 0.00000 55.2569 13.9959 39G3 37 BITS observed
637 0.00000 55.4585 14.4779 39G4 55 BITS observed
638 0.00000 55.6987 14.8644 40G4 53 BITS observed
639 0.00000 56.3877 18.6029 41G8 77 BITS observed
640 0.00000 56.4514 16.7784 41G6 61 BITS observed
641 0.00000 55.8023 15.8025 40G5 55 BITS observed
642 0.00000 56.1999 18.3579 41G8 70 BITS observed
643 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
644 0.00000 55.2683 13.7231 39G3 40 BITS observed
645 0.00000 55.8350 15.9437 40G5 56 BITS observed
646 0.00000 57.1257 17.2895 43G7 72 BITS observed
647 0.00000 56.4696 18.6857 41G8 75 BITS observed
648 0.00000 55.8928 17.7293 40G7 62 BITS estimated
649 0.00000 55.8027 16.6925 40G6 49 BITS estimated
650 0.00000 55.7197 16.6420 40G6 55 BITS observed
651 0.00000 55.5818 16.4355 40G6 67 BITS observed
652 0.00000 54.8819 15.1104 38G5 60 BITS observed
653 0.00000 54.8018 15.3127 38G5 69 BITS observed
654 0.00000 54.8055 15.0000 38G4 56 BITS estimated
655 0.00000 54.8853 15.2910 38G5 71 BITS estimated
656 0.00000 55.0439 15.2218 39G5 53 BITS estimated
657 0.00000 55.7365 16.3343 40G6 63 BITS estimated
658 0.00000 55.8096 16.5375 40G6 56 BITS estimated
659 0.00000 55.8217 16.4630 40G6 57 BITS estimated
660 0.00000 55.1081 15.2696 39G5 66 BITS estimated
661 0.00000 54.8859 15.2944 38G5 71 BITS observed
662 0.00000 54.5405 15.7667 38G5 56 BITS observed
663 0.00000 54.5686 15.6684 38G5 59 BITS observed
664 0.00000 54.5686 15.6684 38G5 59 BITS observed
665 0.00000 54.5394 15.9982 38G5 47 BITS observed
666 0.00000 55.2781 16.8673 39G6 74 BITS estimated
667 0.00000 55.4001 17.4389 39G7 62 BITS estimated
668 0.00000 55.6342 16.6898 40G6 55 BITS estimated
669 0.00000 54.7867 18.6750 38G8 32 BITS_4Q observed
670 0.00000 56.3917 18.5100 41G8 44 BITS_4Q observed
671 0.00000 54.9117 18.6116 38G8 48 BITS_4Q observed
672 0.00000 55.2117 13.5916 39G3 44 BITS observed
673 0.00000 55.6409 14.6905 40G4 61 BITS observed
674 0.00000 56.1428 18.3211 41G8 75 BITS observed
675 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
676 0.00000 54.3950 19.2450 37G9 32 BITS_4Q observed
677 0.00000 56.4033 18.6099 41G8 75 BITS_4Q observed
678 0.00000 56.1999 18.3579 41G8 70 BITS observed
679 0.00000 54.8367 18.5117 38G8 22 BITS_4Q observed
680 0.00000 54.9117 18.6116 38G8 48 BITS_4Q observed
681 0.00000 55.7965 15.9501 40G5 61 BITS observed
682 0.00000 55.2683 13.7231 39G3 40 BITS observed
683 0.00000 55.2875 13.9220 39G3 37 BITS observed
684 0.00000 55.6409 14.6905 40G4 61 BITS observed
685 0.00000 55.8023 15.8025 40G5 55 BITS observed
686 0.00000 55.8350 15.9437 40G5 56 BITS observed
687 0.00000 57.0454 18.8251 43G8 67 BITS observed
688 0.00000 57.4636 17.0894 43G7 66 BITS observed
689 0.00000 55.7648 15.4275 40G5 62 BITS observed
690 0.00000 55.4585 14.4779 39G4 55 BITS observed
691 0.00000 57.3014 19.0523 43G9 67 BITS observed
692 0.00000 57.3442 17.4202 43G7 72 BITS observed
693 0.00000 54.6766 18.8150 38G8 65 BITS_1Q observed
694 0.00000 55.6300 18.5483 40G8 97 BITS_1Q observed
695 0.00000 55.8451 15.5663 40G5 39 BITS observed
696 0.00000 55.8451 15.5663 40G5 39 BITS observed
697 0.00000 55.4585 14.4779 39G4 55 BITS observed
698 0.00000 55.8023 15.8025 40G5 55 BITS observed
699 0.00000 57.3151 19.1036 43G9 75 BITS observed
700 0.00000 54.4399 19.0350 37G9 56 BITS_4Q observed
701 0.00000 54.8367 18.5117 38G8 22 BITS_4Q observed
702 0.00000 55.8706 16.0675 40G6 55 BITS observed
703 0.00000 55.0482 18.3350 39G8 68 BITS_4Q observed
704 0.00000 56.3877 18.6029 41G8 77 BITS observed
705 0.00000 56.1999 18.3579 41G8 70 BITS observed
706 0.00000 54.9117 18.6116 38G8 48 BITS_4Q observed
707 0.00000 56.1629 18.3359 41G8 75 BITS observed
708 0.00000 55.7197 16.6420 40G6 55 BITS observed
709 0.00000 55.6334 16.6902 40G6 54 BITS observed
710 0.00000 55.5000 17.8597 40G7 77 BITS estimated
711 0.00000 55.8928 17.7293 40G7 62 BITS estimated
712 0.00000 55.8027 16.6925 40G6 49 BITS estimated
713 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
714 0.00000 55.6409 14.6905 40G4 61 BITS observed
715 0.00000 55.5818 16.4355 40G6 67 BITS observed
716 0.00000 54.8819 15.1104 38G5 60 BITS observed
717 0.00000 54.6848 15.6335 38G5 66 BITS observed
718 0.00000 54.8018 15.3127 38G5 69 BITS observed
719 0.00000 54.7297 14.9712 38G4 60 BITS observed
720 0.00000 54.8055 15.0000 38G4 56 BITS estimated
721 0.00000 55.7365 16.3343 40G6 63 BITS estimated
722 0.00000 55.8096 16.5375 40G6 56 BITS estimated
723 0.00000 55.8217 16.4630 40G6 57 BITS estimated
724 0.00000 55.8365 16.1963 40G6 57 BITS estimated
725 0.00000 55.2015 15.2070 39G5 61 BITS estimated
726 0.00000 55.8731 16.4265 40G6 52 BITS observed
727 0.00000 55.1135 16.3858 39G6 62 BITS observed
728 0.00000 54.5405 15.7667 38G5 56 BITS observed
729 0.00000 54.5686 15.6684 38G5 59 BITS observed
730 0.00000 54.5394 15.9982 38G5 47 BITS observed
731 0.00000 55.2781 16.8673 39G6 74 BITS estimated
732 0.00000 55.5540 17.6003 40G7 42 BITS estimated
733 0.00000 55.5540 17.6003 40G7 42 BITS estimated
734 0.00000 55.7826 17.6970 40G7 58 BITS estimated
735 0.00000 55.6342 16.6898 40G6 55 BITS estimated
736 0.00000 54.8367 18.5117 38G8 22 BITS_4Q observed
737 0.00000 54.9117 18.6116 38G8 48 BITS_4Q observed
738 0.00000 55.8706 16.0675 40G6 55 BITS observed
739 0.00000 55.2117 13.5916 39G3 44 BITS observed
740 0.00000 57.1257 17.2895 43G7 72 BITS observed
741 0.00000 55.0482 18.3350 39G8 68 BITS_4Q observed
742 0.00000 56.4033 18.6099 41G8 75 BITS_4Q observed
743 0.00000 54.9099 18.6050 38G8 47 BITS_4Q observed
744 0.00000 54.6766 18.8150 38G8 65 BITS_1Q observed
745 0.00000 56.4600 18.6666 41G8 75 BITS_4Q observed
746 0.00000 55.7965 15.9501 40G5 61 BITS observed
747 0.00000 55.2875 13.9220 39G3 37 BITS observed
748 0.00000 55.7042 14.3838 40G4 38 BITS observed
749 0.00000 55.8350 15.9437 40G5 56 BITS observed
750 0.00000 57.1668 18.8292 43G8 49 BITS observed
751 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
752 0.00000 56.1999 18.3579 41G8 70 BITS observed
753 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
754 0.00000 55.4799 18.3017 39G8 85 BITS_1Q observed
755 0.00000 55.2683 13.7231 39G3 40 BITS observed
756 0.00000 55.4585 14.4779 39G4 55 BITS observed
757 0.00000 55.6409 14.6905 40G4 61 BITS observed
758 0.00000 55.6987 14.8644 40G4 53 BITS observed
759 0.00000 56.3489 18.4896 41G8 54 BITS observed
760 0.00000 57.0454 18.8251 43G8 67 BITS observed
761 0.00000 55.2569 13.9959 39G3 37 BITS observed
762 0.00000 56.2235 18.4295 41G8 70 BITS observed
763 0.00000 57.3151 19.1036 43G9 75 BITS observed
764 0.00000 57.4170 17.0220 43G7 55 BITS observed
765 0.00000 56.6937 16.9987 42G6 67 BITS observed
766 0.00000 56.4696 18.6857 41G8 75 BITS observed
767 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
768 0.00000 55.5932 18.3850 40G8 92 BITS_1Q observed
769 0.00000 55.2569 13.9959 39G3 37 BITS observed
770 0.00000 57.1668 18.8292 43G8 49 BITS observed
771 0.00000 57.3151 19.1036 43G9 75 BITS observed
772 0.00000 55.4799 18.3017 39G8 85 BITS_1Q observed
773 0.00000 54.9117 18.6116 38G8 48 BITS_4Q observed
774 0.00000 55.7965 15.9501 40G5 61 BITS observed
775 0.00000 55.7648 15.4275 40G5 62 BITS observed
776 0.00000 57.3014 19.0523 43G9 67 BITS observed
777 0.00000 56.4696 18.6857 41G8 75 BITS observed
778 0.00000 56.3842 18.5857 41G8 75 BITS observed
779 0.00000 55.1081 15.2696 39G5 66 BITS estimated
780 0.00000 55.3205 17.2210 39G7 74 BITS estimated
781 0.00000 55.8027 16.6925 40G6 49 BITS estimated
782 0.00000 55.6342 16.6898 40G6 55 BITS estimated
783 0.00000 55.7894 16.6815 40G6 52 BITS estimated
784 0.00000 55.8016 16.6930 40G6 48 BITS observed
785 0.00000 55.0882 15.5054 39G5 72 BITS observed
786 0.00000 54.6867 14.8081 38G4 53 BITS observed
787 0.00000 54.8853 15.2910 38G5 71 BITS estimated
788 0.00000 55.7365 16.3343 40G6 63 BITS estimated
789 0.00000 55.8096 16.5375 40G6 56 BITS estimated
790 0.00000 55.8217 16.4630 40G6 57 BITS estimated
791 0.00000 55.8365 16.1963 40G6 57 BITS estimated
792 0.00000 55.7819 17.6968 40G7 57 BITS observed
793 0.00000 55.8731 16.4265 40G6 52 BITS observed
794 0.00000 54.8859 15.2944 38G5 71 BITS observed
795 0.00000 54.5405 15.4449 38G5 58 BITS observed
796 0.00000 54.5405 15.7667 38G5 56 BITS observed
797 0.00000 54.7980 15.3104 38G5 69 BITS observed
798 0.00000 55.2586 17.3967 39G7 89 BITS estimated
799 0.00000 55.4001 17.4389 39G7 62 BITS estimated
800 0.00000 55.8928 17.7293 40G7 62 BITS estimated
801 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
802 0.00000 54.9117 18.6116 38G8 48 BITS_4Q observed
803 0.00000 57.8581 19.4743 44G9 68 BITS observed
804 0.00000 57.4636 17.0894 43G7 66 BITS observed
805 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
806 0.00000 55.2875 13.9220 39G3 37 BITS observed
807 0.00000 55.6987 14.8644 40G4 53 BITS observed
808 0.00000 55.6987 14.8644 40G4 53 BITS observed
809 0.00000 56.1428 18.3211 41G8 75 BITS observed
810 0.00000 57.3442 17.4202 43G7 72 BITS observed
811 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
812 0.00000 55.8023 15.8025 40G5 55 BITS observed
813 0.00000 54.3917 15.8400 37G5 30 BITS_1Q observed
814 0.00000 55.7648 15.4275 40G5 62 BITS observed
815 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
816 0.00000 55.8451 15.5663 40G5 39 BITS observed
817 0.00000 55.2117 13.5916 39G3 44 BITS observed
818 0.00000 57.3014 19.0523 43G9 67 BITS observed
819 0.00000 57.3151 19.1036 43G9 75 BITS observed
820 0.00000 56.6937 16.9987 42G6 67 BITS observed
821 0.00000 55.2117 13.5916 39G3 44 BITS observed
822 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
823 0.00000 55.6409 14.6905 40G4 61 BITS observed
824 0.00000 55.8023 15.8025 40G5 55 BITS observed
825 0.00000 57.1668 18.8292 43G8 49 BITS observed
826 0.00000 54.6766 18.8150 38G8 65 BITS_1Q observed
827 0.00000 55.0482 18.3350 39G8 68 BITS_4Q observed
828 0.00000 55.8706 16.0675 40G6 55 BITS observed
829 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
830 0.00000 55.7965 15.9501 40G5 61 BITS observed
831 0.00000 55.6409 14.6905 40G4 61 BITS observed
832 0.00000 55.6987 14.8644 40G4 53 BITS observed
833 0.00000 56.1428 18.3211 41G8 75 BITS observed
834 0.00000 56.4696 18.6857 41G8 75 BITS observed
835 0.00000 54.4399 19.0350 37G9 56 BITS_4Q observed
836 0.00000 56.4600 18.6666 41G8 75 BITS_4Q observed
837 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
838 0.00000 54.6533 16.4133 38G6 32 BITS_4Q observed
839 0.00000 54.8367 18.5117 38G8 22 BITS_4Q observed
840 0.00000 55.2875 13.9220 39G3 37 BITS observed
841 0.00000 55.7042 14.3838 40G4 38 BITS observed
842 0.00000 57.1257 17.2895 43G7 72 BITS observed
843 0.00000 55.2569 13.9959 39G3 37 BITS observed
844 0.00000 56.3877 18.6029 41G8 77 BITS observed
845 0.00000 57.1257 17.2895 43G7 72 BITS observed
846 0.00000 54.8018 15.3127 38G5 69 BITS observed
847 0.00000 55.8217 16.4630 40G6 57 BITS estimated
848 0.00000 55.8731 16.4265 40G6 52 BITS observed
849 0.00000 54.6655 15.5757 38G5 66 BITS observed
850 0.00000 55.3832 17.3661 39G7 62 BITS estimated
851 0.00000 55.5000 17.8597 40G7 77 BITS estimated
852 0.00000 55.6342 16.6898 40G6 55 BITS estimated
853 0.00000 54.6867 14.8081 38G4 53 BITS observed
854 0.00000 54.8819 15.1104 38G5 60 BITS observed
855 0.00000 54.7297 14.9712 38G4 60 BITS observed
856 0.00000 54.8055 15.0000 38G4 56 BITS estimated
857 0.00000 54.6542 15.1380 38G5 58 BITS estimated
858 0.00000 54.8853 15.2910 38G5 71 BITS estimated
859 0.00000 55.7365 16.3343 40G6 63 BITS estimated
860 0.00000 55.8096 16.5375 40G6 56 BITS estimated
861 0.00000 55.8365 16.1963 40G6 57 BITS estimated
862 0.00000 55.1081 15.2696 39G5 66 BITS estimated
863 0.00000 54.5405 15.4449 38G5 58 BITS observed
864 0.00000 54.5394 15.9982 38G5 47 BITS observed
865 0.00000 54.7980 16.0078 38G6 52 BITS estimated
866 0.00000 55.4001 17.4389 39G7 62 BITS estimated
867 0.00000 55.5540 17.6003 40G7 42 BITS estimated
868 0.00000 55.8027 16.6925 40G6 49 BITS estimated
869 0.00000 54.4399 19.0350 37G9 56 BITS_4Q observed
870 0.00000 55.8023 15.8025 40G5 55 BITS observed
871 0.00000 55.2683 13.7231 39G3 40 BITS observed
872 0.00000 56.2235 18.4295 41G8 70 BITS observed
873 0.00000 57.0454 18.8251 43G8 67 BITS observed
874 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
875 0.00000 57.3014 19.0523 43G9 67 BITS observed
876 0.00000 56.1999 18.3579 41G8 70 BITS observed
877 0.00000 55.8706 16.0675 40G6 55 BITS observed
878 0.00000 57.3151 19.1036 43G9 75 BITS observed
879 0.00000 54.8967 18.2016 38G8 23 BITS_4Q observed
880 0.00000 55.4585 14.4779 39G4 55 BITS observed
881 0.00000 54.9099 18.6050 38G8 47 BITS_4Q observed
882 0.00000 56.3917 18.5100 41G8 44 BITS_4Q observed
883 0.00000 55.7965 15.9501 40G5 61 BITS observed
884 0.00000 55.8451 15.5663 40G5 39 BITS observed
885 0.00000 56.7258 16.9936 42G6 66 BITS observed
886 0.00000 57.4636 17.0894 43G7 66 BITS observed
887 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
888 0.00000 55.2683 13.7231 39G3 40 BITS observed
889 0.00000 55.4585 14.4779 39G4 55 BITS observed
890 0.00000 55.8350 15.9437 40G5 56 BITS observed
891 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
892 0.00000 56.1428 18.3211 41G8 75 BITS observed
893 0.00000 55.7648 15.4275 40G5 62 BITS observed
894 0.00000 57.4802 17.5598 43G7 77 BITS observed
895 0.00000 57.3442 17.4202 43G7 72 BITS observed
896 0.00000 56.3489 18.4896 41G8 54 BITS observed
897 0.00000 54.5099 19.3482 38G9 72 BITS_4Q observed
898 0.00000 55.2781 16.8673 39G6 74 BITS estimated
899 0.00000 55.2349 17.2709 39G7 90 BITS estimated
900 0.00000 55.4001 17.4389 39G7 62 BITS estimated
901 0.00000 55.6342 16.6898 40G6 55 BITS estimated
902 0.00000 54.6542 15.1380 38G5 58 BITS estimated
903 0.00000 54.8853 15.2910 38G5 71 BITS estimated
904 0.00000 55.0439 15.2218 39G5 53 BITS estimated
905 0.00000 55.7365 16.3343 40G6 63 BITS estimated
906 0.00000 55.8217 16.4630 40G6 57 BITS estimated
907 0.00000 55.1081 15.2696 39G5 66 BITS estimated
908 0.00000 55.2015 15.2070 39G5 61 BITS estimated
909 0.00000 54.8859 15.2944 38G5 71 BITS observed
910 0.00000 54.5405 15.4449 38G5 58 BITS observed
911 0.00000 54.7980 16.0078 38G6 52 BITS estimated
912 0.00000 55.3903 17.7505 39G7 75 BITS estimated
913 0.00000 55.6152 17.5946 40G7 40 BITS estimated
914 0.00000 55.7826 17.6970 40G7 58 BITS estimated
915 0.00000 55.8928 17.7293 40G7 62 BITS estimated
916 0.00000 56.0867 17.4182 41G7 41 BITS estimated
917 0.00000 55.8027 16.6925 40G6 49 BITS estimated
918 0.00000 56.3877 18.6029 41G8 77 BITS observed
919 0.00000 57.3014 19.0523 43G9 67 BITS observed
920 0.00000 57.3151 19.1036 43G9 75 BITS observed
921 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
922 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
923 0.00000 54.8367 18.5117 38G8 22 BITS_4Q observed
924 0.00000 54.8982 18.1816 38G8 23 BITS_4Q observed
925 0.00000 55.0482 18.3350 39G8 68 BITS_4Q observed
926 0.00000 55.2569 13.9959 39G3 37 BITS observed
927 0.00000 55.8350 15.9437 40G5 56 BITS observed
928 0.00000 57.1668 18.8292 43G8 49 BITS observed
929 0.00000 54.3950 19.2450 37G9 32 BITS_4Q observed
930 0.00000 55.2683 13.7231 39G3 40 BITS observed
931 0.00000 55.6987 14.8644 40G4 53 BITS observed
932 0.00000 55.7042 14.3838 40G4 38 BITS observed
933 0.00000 56.3877 18.6029 41G8 77 BITS observed
934 0.00000 57.3442 17.4202 43G7 72 BITS observed
935 0.00000 55.8350 15.9437 40G5 56 BITS observed
936 0.00000 55.7648 15.4275 40G5 62 BITS observed
937 0.00000 56.2235 18.4295 41G8 70 BITS observed
938 0.00000 56.3877 18.6029 41G8 77 BITS observed
939 0.00000 55.2117 13.5916 39G3 44 BITS observed
940 0.00000 55.2875 13.9220 39G3 37 BITS observed
941 0.00000 55.6987 14.8644 40G4 53 BITS observed
942 0.00000 56.4696 18.6857 41G8 75 BITS observed
943 0.00000 55.3682 18.4283 39G8 83 BITS_1Q observed
944 0.00000 55.7965 15.9501 40G5 61 BITS observed
945 0.00000 55.2875 13.9220 39G3 37 BITS observed
946 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
947 0.00000 56.1428 18.3211 41G8 75 BITS observed
948 0.00000 57.0454 18.8251 43G8 67 BITS observed
949 0.00000 57.3442 17.4202 43G7 72 BITS observed
950 0.00000 57.1257 17.2895 43G7 72 BITS observed
951 0.00000 56.6937 16.9987 42G6 67 BITS observed
952 0.00000 55.8023 15.8025 40G5 55 BITS observed
953 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
954 0.00000 55.4585 14.4779 39G4 55 BITS observed
955 0.00000 54.4399 19.0350 37G9 56 BITS_4Q observed
956 0.00000 57.1257 17.2895 43G7 72 BITS observed
957 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
958 0.00000 55.4799 18.3017 39G8 85 BITS_1Q observed
959 0.00000 56.1428 18.3211 41G8 75 BITS observed
960 0.00000 56.3489 18.4896 41G8 54 BITS observed
961 0.00000 55.8365 16.1963 40G6 57 BITS estimated
962 0.00000 55.2015 15.2070 39G5 61 BITS estimated
963 0.00000 55.3205 17.2210 39G7 74 BITS estimated
964 0.00000 55.5540 17.6003 40G7 42 BITS estimated
965 0.00000 55.6342 16.6898 40G6 55 BITS estimated
966 0.00000 55.7894 16.6815 40G6 52 BITS estimated
967 0.00000 54.8055 15.0000 38G4 56 BITS estimated
968 0.00000 54.6542 15.1380 38G5 58 BITS estimated
969 0.00000 55.0831 15.5177 39G5 73 BITS estimated
970 0.00000 55.8096 16.5375 40G6 56 BITS estimated
971 0.00000 54.7980 16.0078 38G6 52 BITS estimated
972 0.00000 55.2781 16.8673 39G6 74 BITS estimated
973 0.00000 55.7826 17.6970 40G7 58 BITS estimated
974 0.00000 56.0867 17.4182 41G7 41 BITS estimated
975 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
976 0.00000 54.4399 19.0350 37G9 56 BITS_4Q observed
977 8.00000 55.6409 14.6905 40G4 61 BITS observed
978 0.00000 56.2235 18.4295 41G8 70 BITS observed
979 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
980 0.00000 54.5099 19.3482 38G9 72 BITS_4Q observed
981 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
982 0.00000 54.3817 15.7683 37G5 30 BITS_4Q observed
983 0.00000 54.4333 19.0833 37G9 49 BITS_4Q observed
984 0.00000 56.1999 18.3579 41G8 70 BITS observed
985 0.00000 55.2683 13.7231 39G3 40 BITS observed
986 0.00000 55.2683 13.7231 39G3 40 BITS observed
987 0.00000 55.8706 16.0675 40G6 55 BITS observed
988 0.00000 55.2117 13.5916 39G3 44 BITS observed
989 0.00000 55.0482 18.3350 39G8 68 BITS_4Q observed
990 0.00000 55.8706 16.0675 40G6 55 BITS observed
991 0.00000 55.2569 13.9959 39G3 37 BITS observed
992 0.00000 56.3877 18.6029 41G8 77 BITS observed
993 0.00000 57.0454 18.8251 43G8 67 BITS observed
994 0.00000 57.1668 18.8292 43G8 49 BITS observed
995 0.00000 57.3151 19.1036 43G9 75 BITS observed
996 0.00000 56.4696 18.6857 41G8 75 BITS observed
997 0.00000 54.3950 19.2450 37G9 32 BITS_4Q observed
998 0.00000 57.0454 18.8251 43G8 67 BITS observed
999 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1000 0.00000 55.7648 15.4275 40G5 62 BITS observed
1001 0.00000 55.2117 13.5916 39G3 44 BITS observed
1002 0.00000 55.8023 15.8025 40G5 55 BITS observed
1003 0.00000 56.1999 18.3579 41G8 70 BITS observed
1004 0.00000 55.7965 15.9501 40G5 61 BITS observed
1005 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1006 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1007 0.00000 54.6916 16.6417 38G6 29 BITS_4Q observed
1008 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1009 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1010 0.00000 56.1428 18.3211 41G8 75 BITS observed
1011 0.00000 56.4696 18.6857 41G8 75 BITS observed
1012 0.00000 54.8982 18.1816 38G8 23 BITS_4Q observed
1013 0.00000 55.7648 15.4275 40G5 62 BITS observed
1014 0.00000 55.8350 15.9437 40G5 56 BITS observed
1015 0.00000 56.7258 16.9936 42G6 66 BITS observed
1016 0.00000 55.8217 16.4630 40G6 57 BITS estimated
1017 0.00000 55.8365 16.1963 40G6 57 BITS estimated
1018 0.00000 55.1081 15.2696 39G5 66 BITS estimated
1019 0.00000 55.8928 17.7293 40G7 62 BITS estimated
1020 0.00000 54.8055 15.0000 38G4 56 BITS estimated
1021 0.00000 54.8853 15.2910 38G5 71 BITS estimated
1022 0.00000 55.0439 15.2218 39G5 53 BITS estimated
1023 0.00000 55.0831 15.5177 39G5 73 BITS estimated
1024 0.00000 55.7365 16.3343 40G6 63 BITS estimated
1025 0.00000 55.8096 16.5375 40G6 56 BITS estimated
1026 0.00000 55.2015 15.2070 39G5 61 BITS estimated
1027 0.00000 55.4575 14.7159 39G4 69 BITS estimated
1028 0.00000 54.7980 16.0078 38G6 52 BITS estimated
1029 0.00000 55.2781 16.8673 39G6 74 BITS estimated
1030 0.00000 55.3832 17.3661 39G7 62 BITS estimated
1031 0.00000 55.5540 17.6003 40G7 42 BITS estimated
1032 0.00000 55.6342 16.6898 40G6 55 BITS estimated
1033 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1034 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1035 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1036 0.00000 54.8982 18.1816 38G8 23 BITS_4Q observed
1037 0.00000 57.0454 18.8251 43G8 67 BITS observed
1038 0.00000 57.1257 17.2895 43G7 72 BITS observed
1039 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1040 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1041 0.00000 56.3917 18.5100 41G8 44 BITS_4Q observed
1042 0.00000 55.6409 14.6905 40G4 61 BITS observed
1043 0.00000 54.7282 18.7566 38G8 57 BITS_1Q observed
1044 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1045 0.00000 55.7042 14.3838 40G4 38 BITS observed
1046 0.00000 56.2235 18.4295 41G8 70 BITS observed
1047 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1048 0.00000 54.6916 16.6417 38G6 29 BITS_4Q observed
1049 0.00000 55.6409 14.6905 40G4 61 BITS observed
1050 0.00000 57.3151 19.1036 43G9 75 BITS observed
1051 0.00000 54.8367 18.5117 38G8 22 BITS_4Q observed
1052 0.00000 55.8451 15.5663 40G5 39 BITS observed
1053 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1054 0.00000 55.6987 14.8644 40G4 53 BITS observed
1055 0.00000 57.1257 17.2895 43G7 72 BITS observed
1056 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1057 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1058 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1059 0.00000 54.3950 19.2450 37G9 32 BITS_4Q observed
1060 0.00000 57.1668 18.8292 43G8 49 BITS observed
1061 0.00000 55.4585 14.4779 39G4 55 BITS observed
1062 0.00000 56.2235 18.4295 41G8 70 BITS observed
1063 0.00000 56.3877 18.6029 41G8 77 BITS observed
1064 0.00000 57.1668 18.8292 43G8 49 BITS observed
1065 0.00000 57.3151 19.1036 43G9 75 BITS observed
1066 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1067 0.00000 55.0482 18.3350 39G8 68 BITS_4Q observed
1068 8.00000 57.3442 17.4202 43G7 72 BITS observed
1069 0.00000 56.3900 18.5117 41G8 45 BITS_4Q observed
1070 0.00000 55.2875 13.9220 39G3 37 BITS observed
1071 0.00000 57.3633 16.9177 43G6 44 BITS observed
1072 0.00000 54.4399 19.0350 37G9 56 BITS_4Q observed
1073 0.00000 57.3014 19.0523 43G9 67 BITS observed
1074 0.00000 54.8367 18.5117 38G8 22 BITS_4Q observed
1075 0.00000 54.8853 15.2910 38G5 71 BITS estimated
1076 0.00000 55.8217 16.4630 40G6 57 BITS estimated
1077 0.00000 55.6555 15.0947 40G5 76 BITS estimated
1078 0.00000 55.2349 17.2709 39G7 90 BITS estimated
1079 0.00000 55.8928 17.7293 40G7 62 BITS estimated
1080 0.00000 55.6342 16.6898 40G6 55 BITS estimated
1081 0.00000 54.8055 15.0000 38G4 56 BITS estimated
1082 0.00000 54.8337 15.6020 38G5 76 BITS estimated
1083 0.00000 55.8096 16.5375 40G6 56 BITS estimated
1084 0.00000 55.2015 15.2070 39G5 61 BITS estimated
1085 0.00000 54.7980 16.0078 38G6 52 BITS estimated
1086 0.00000 55.6152 17.5946 40G7 40 BITS estimated
1087 0.00000 55.7826 17.6970 40G7 58 BITS estimated
1088 0.00000 54.8367 18.5117 38G8 22 BITS_4Q observed
1089 0.00000 54.8367 18.5117 38G8 22 BITS_4Q observed
1090 0.00000 54.9117 18.6116 38G8 48 BITS_4Q observed
1091 0.00000 55.2875 13.9220 39G3 37 BITS observed
1092 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1093 0.00000 56.1999 18.3579 41G8 70 BITS observed
1094 0.00000 55.7013 14.3595 40G4 33 BITS observed
1095 0.00000 55.4585 14.4779 39G4 55 BITS observed
1096 0.00000 55.4585 14.4779 39G4 55 BITS observed
1097 0.00000 55.7042 14.3838 40G4 38 BITS observed
1098 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1099 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1100 0.00000 55.2875 13.9220 39G3 37 BITS observed
1101 0.00000 55.7042 14.3838 40G4 38 BITS observed
1102 0.00000 57.0454 18.8251 43G8 67 BITS observed
1103 0.00000 56.3900 18.5117 41G8 45 BITS_4Q observed
1104 0.00000 55.8706 16.0675 40G6 55 BITS observed
1105 0.00000 55.8023 15.8025 40G5 55 BITS observed
1106 0.00000 54.8982 18.1816 38G8 23 BITS_4Q observed
1107 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1108 0.00000 56.1428 18.3211 41G8 75 BITS observed
1109 0.00000 56.2235 18.4295 41G8 70 BITS observed
1110 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1111 0.00000 55.2683 13.7231 39G3 40 BITS observed
1112 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1113 0.00000 55.8350 15.9437 40G5 56 BITS observed
1114 0.00000 56.1428 18.3211 41G8 75 BITS observed
1115 0.00000 57.7708 19.4820 44G9 78 BITS observed
1116 0.00000 57.1257 17.2895 43G7 72 BITS observed
1117 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1118 0.00000 55.2569 13.9959 39G3 37 BITS observed
1119 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1120 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1121 0.00000 54.4082 16.0367 37G6 26 BITS_1Q observed
1122 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1123 0.00000 55.2117 13.5916 39G3 44 BITS observed
1124 0.00000 55.2117 13.5916 39G3 44 BITS observed
1125 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1126 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1127 0.00000 56.1332 19.5817 41G9 64 BITS_1Q observed
1128 0.00000 54.3849 15.5717 37G5 30 BITS_4Q observed
1129 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1130 0.00000 54.8337 15.6020 38G5 76 BITS estimated
1131 0.00000 55.0439 15.2218 39G5 53 BITS estimated
1132 0.00000 55.7365 16.3343 40G6 63 BITS estimated
1133 0.00000 55.8096 16.5375 40G6 56 BITS estimated
1134 0.00000 55.5000 17.8597 40G7 77 BITS estimated
1135 0.00000 54.8853 15.2910 38G5 71 BITS estimated
1136 0.00000 55.5347 16.1749 40G6 75 BITS estimated
1137 0.00000 55.8217 16.4630 40G6 57 BITS estimated
1138 0.00000 55.8365 16.1963 40G6 57 BITS estimated
1139 0.00000 55.2015 15.2070 39G5 61 BITS estimated
1140 0.00000 55.6555 15.0947 40G5 76 BITS estimated
1141 0.00000 55.5540 17.6003 40G7 42 BITS estimated
1142 0.00000 55.6152 17.5946 40G7 40 BITS estimated
1143 0.00000 55.6342 16.6898 40G6 55 BITS estimated
1144 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1145 0.00000 54.7282 18.7566 38G8 57 BITS_1Q observed
1146 0.00000 55.6987 14.8644 40G4 53 BITS observed
1147 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1148 0.00000 55.6409 14.6905 40G4 61 BITS observed
1149 0.00000 56.3877 18.6029 41G8 77 BITS observed
1150 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1151 3.00000 56.6937 16.9987 42G6 67 BITS observed
1152 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1153 0.00000 55.4183 18.4250 39G8 85 BITS_1Q observed
1154 0.00000 54.3950 19.2450 37G9 32 BITS_4Q observed
1155 0.00000 55.4585 14.4779 39G4 55 BITS observed
1156 0.00000 55.8350 15.9437 40G5 56 BITS observed
1157 0.00000 54.8367 18.5117 38G8 22 BITS_4Q observed
1158 0.00000 57.8592 19.5269 44G9 76 BITS observed
1159 0.00000 56.4696 18.6857 41G8 75 BITS observed
1160 0.00000 55.7965 15.9501 40G5 61 BITS observed
1161 0.00000 56.1428 18.3211 41G8 75 BITS observed
1162 0.00000 57.3014 19.0523 43G9 67 BITS observed
1163 0.00000 57.3014 19.0523 43G9 67 BITS observed
1164 0.00000 57.3442 17.4202 43G7 72 BITS observed
1165 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1166 0.00000 54.4333 19.0833 37G9 49 BITS_4Q observed
1167 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1168 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1169 0.00000 54.8982 18.1816 38G8 23 BITS_4Q observed
1170 0.00000 55.8706 16.0675 40G6 55 BITS observed
1171 0.00000 55.7013 14.3595 40G4 33 BITS observed
1172 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1173 0.00000 55.2683 13.7231 39G3 40 BITS observed
1174 0.00000 57.1257 17.2895 43G7 72 BITS observed
1175 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1176 0.00000 55.6987 14.8644 40G4 53 BITS observed
1177 0.00000 55.7648 15.4275 40G5 62 BITS observed
1178 0.00000 55.2117 13.5916 39G3 44 BITS observed
1179 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1180 3.00000 56.7258 16.9936 42G6 66 BITS observed
1181 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1182 0.00000 55.2683 13.7231 39G3 40 BITS observed
1183 0.00000 57.3151 19.1036 43G9 75 BITS observed
1184 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1185 0.00000 56.4696 18.6857 41G8 75 BITS observed
1186 0.00000 54.4399 19.0350 37G9 56 BITS_4Q observed
1187 0.00000 54.6916 16.6417 38G6 29 BITS_4Q observed
1188 0.00000 55.2569 13.9959 39G3 37 BITS observed
1189 0.00000 56.1999 18.3579 41G8 70 BITS observed
1190 0.00000 55.7648 15.4275 40G5 62 BITS observed
1191 0.00000 55.8350 15.9437 40G5 56 BITS observed
1192 0.00000 57.3633 16.9177 43G6 44 BITS observed
1193 0.00000 54.4932 19.2232 37G9 71 BITS_4Q observed
1194 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1195 0.00000 54.3950 19.2450 37G9 32 BITS_4Q observed
1196 0.00000 55.2875 13.9220 39G3 37 BITS observed
1197 0.00000 54.3849 15.5717 37G5 30 BITS_4Q observed
1198 0.00000 54.3950 19.2450 37G9 32 BITS_4Q observed
1199 0.00000 54.8055 15.0000 38G4 56 BITS estimated
1200 0.00000 54.8337 15.6020 38G5 76 BITS estimated
1201 0.00000 55.6555 15.0947 40G5 76 BITS estimated
1202 0.00000 55.5193 14.9369 40G4 75 BITS estimated
1203 0.00000 55.2349 17.2709 39G7 90 BITS estimated
1204 0.00000 55.2586 17.3967 39G7 89 BITS estimated
1205 0.00000 55.5000 17.8597 40G7 77 BITS estimated
1206 0.00000 55.8096 16.5375 40G6 56 BITS estimated
1207 0.00000 55.8217 16.4630 40G6 57 BITS estimated
1208 0.00000 55.8365 16.1963 40G6 57 BITS estimated
1209 0.00000 55.1081 15.2696 39G5 66 BITS estimated
1210 0.00000 55.2015 15.2070 39G5 61 BITS estimated
1211 0.00000 55.7826 17.6970 40G7 58 BITS estimated
1212 0.00000 55.8928 17.7293 40G7 62 BITS estimated
1213 0.00000 55.6342 16.6898 40G6 55 BITS estimated
1214 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1215 0.00000 55.7965 15.9501 40G5 61 BITS observed
1216 0.00000 54.4099 16.0300 37G6 26 BITS_4Q observed
1217 0.00000 54.8982 18.1816 38G8 23 BITS_4Q observed
1218 0.00000 55.6409 14.6905 40G4 61 BITS observed
1219 0.00000 57.7708 19.4820 44G9 78 BITS observed
1220 0.00000 57.1668 18.8292 43G8 49 BITS observed
1221 0.00000 57.3442 17.4202 43G7 72 BITS observed
1222 0.00000 54.4117 19.2916 37G9 41 BITS_1Q observed
1223 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1224 0.00000 55.6987 14.8644 40G4 53 BITS observed
1225 0.00000 55.6409 14.6905 40G4 61 BITS observed
1226 0.00000 55.6987 14.8644 40G4 53 BITS observed
1227 0.00000 55.7042 14.3838 40G4 38 BITS observed
1228 0.00000 55.7042 14.3838 40G4 38 BITS observed
1229 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1230 0.00000 54.8367 18.5117 38G8 22 BITS_4Q observed
1231 0.00000 55.2683 13.7231 39G3 40 BITS observed
1232 0.00000 54.7282 18.7566 38G8 57 BITS_1Q observed
1233 0.00000 55.8706 16.0675 40G6 55 BITS observed
1234 0.00000 56.2235 18.4295 41G8 70 BITS observed
1235 0.00000 56.1999 18.3579 41G8 70 BITS observed
1236 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1237 0.00000 55.2569 13.9959 39G3 37 BITS observed
1238 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1239 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1240 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1241 0.00000 54.3817 15.7683 37G5 30 BITS_4Q observed
1242 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1243 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1244 0.00000 57.1668 18.8292 43G8 49 BITS observed
1245 0.00000 55.2117 13.5916 39G3 44 BITS observed
1246 0.00000 55.8350 15.9437 40G5 56 BITS observed
1247 0.00000 55.4585 14.4779 39G4 55 BITS observed
1248 0.00000 55.2569 13.9959 39G3 37 BITS observed
1249 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1250 0.00000 55.0482 18.3350 39G8 68 BITS_4Q observed
1251 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1252 0.00000 54.3849 15.5717 37G5 30 BITS_4Q observed
1253 0.00000 55.2569 13.9959 39G3 37 BITS observed
1254 0.00000 56.2235 18.4295 41G8 70 BITS observed
1255 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1256 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1257 0.00000 54.8853 15.2910 38G5 71 BITS estimated
1258 0.00000 55.6555 15.0947 40G5 76 BITS estimated
1259 0.00000 55.2781 16.8673 39G6 74 BITS estimated
1260 0.00000 54.8055 15.0000 38G4 56 BITS estimated
1261 0.00000 55.0439 15.2218 39G5 53 BITS estimated
1262 0.00000 55.8096 16.5375 40G6 56 BITS estimated
1263 0.00000 55.8365 16.1963 40G6 57 BITS estimated
1264 0.00000 55.1081 15.2696 39G5 66 BITS estimated
1265 0.00000 55.5000 17.8597 40G7 77 BITS estimated
1266 0.00000 55.5540 17.6003 40G7 42 BITS estimated
1267 0.00000 55.7826 17.6970 40G7 58 BITS estimated
1268 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1269 0.00000 55.4585 14.4779 39G4 55 BITS observed
1270 0.00000 57.3151 19.1036 43G9 75 BITS observed
1271 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1272 0.00000 55.8023 15.8025 40G5 55 BITS observed
1273 0.00000 57.3014 19.0523 43G9 67 BITS observed
1274 0.00000 57.8592 19.5269 44G9 76 BITS observed
1275 0.00000 55.7648 15.4275 40G5 62 BITS observed
1276 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1277 0.00000 54.8367 18.5117 38G8 22 BITS_4Q observed
1278 0.00000 55.7013 14.3595 40G4 33 BITS observed
1279 0.00000 56.1428 18.3211 41G8 75 BITS observed
1280 0.00000 55.4183 18.4250 39G8 85 BITS_1Q observed
1281 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1282 0.00000 57.1668 18.8292 43G8 49 BITS observed
1283 0.00000 54.4099 16.0300 37G6 26 BITS_4Q observed
1284 0.00000 55.7042 14.3838 40G4 38 BITS observed
1285 0.00000 56.1428 18.3211 41G8 75 BITS observed
1286 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1287 0.00000 54.4333 19.0833 37G9 49 BITS_4Q observed
1288 8.00000 56.1428 18.3211 41G8 75 BITS observed
1289 0.00000 56.3877 18.6029 41G8 77 BITS observed
1290 0.00000 56.2556 17.8862 41G7 47 BITS observed
1291 0.00000 55.2117 13.5916 39G3 44 BITS observed
1292 0.00000 55.4585 14.4779 39G4 55 BITS observed
1293 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1294 0.00000 54.3817 15.7683 37G5 30 BITS_4Q observed
1295 5.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1296 0.00000 54.8982 18.1816 38G8 23 BITS_4Q observed
1297 0.00000 55.0482 18.3350 39G8 68 BITS_4Q observed
1298 0.00000 55.7965 15.9501 40G5 61 BITS observed
1299 0.00000 55.7013 14.3595 40G4 33 BITS observed
1300 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1301 0.00000 54.3950 19.2450 37G9 32 BITS_4Q observed
1302 0.00000 56.3917 18.5100 41G8 44 BITS_4Q observed
1303 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1304 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1305 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1306 0.00000 56.3877 18.6029 41G8 77 BITS observed
1307 0.00000 54.4333 19.0833 37G9 49 BITS_4Q observed
1308 0.00000 54.8982 18.1816 38G8 23 BITS_4Q observed
1309 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1310 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1311 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1312 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1313 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1314 0.00000 54.3950 19.2450 37G9 32 BITS_4Q observed
1315 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1316 0.00000 54.6766 18.8150 38G8 65 BITS_1Q observed
1317 0.00000 54.3849 15.6317 37G5 30 BITS_1Q observed
1318 0.00000 55.7648 15.4275 40G5 62 BITS observed
1319 0.00000 55.2875 13.9220 39G3 37 BITS observed
1320 0.00000 57.3151 19.1036 43G9 75 BITS observed
1321 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1322 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1323 9.00000 54.3950 19.2450 37G9 32 BITS_4Q observed
1324 0.00000 55.7013 14.3595 40G4 33 BITS observed
1325 0.00000 55.6555 15.0947 40G5 76 BITS estimated
1326 0.00000 55.2349 17.2709 39G7 90 BITS estimated
1327 0.00000 55.4001 17.4389 39G7 62 BITS estimated
1328 0.00000 55.5000 17.8597 40G7 77 BITS estimated
1329 0.00000 55.2683 13.7231 39G3 40 BITS observed
1330 0.00000 54.8337 15.6020 38G5 76 BITS estimated
1331 0.00000 54.8853 15.2910 38G5 71 BITS estimated
1332 0.00000 55.0439 15.2218 39G5 53 BITS estimated
1333 0.00000 55.0831 15.5177 39G5 73 BITS estimated
1334 0.00000 55.8217 16.4630 40G6 57 BITS estimated
1335 0.00000 55.8365 16.1963 40G6 57 BITS estimated
1336 0.00000 55.2015 15.2070 39G5 61 BITS estimated
1337 0.00000 55.5193 14.9369 40G4 75 BITS estimated
1338 0.00000 54.7980 16.0078 38G6 52 BITS estimated
1339 0.00000 55.2781 16.8673 39G6 74 BITS estimated
1340 0.00000 55.2586 17.3967 39G7 89 BITS estimated
1341 0.00000 55.3832 17.3661 39G7 62 BITS estimated
1342 0.00000 55.5540 17.6003 40G7 42 BITS estimated
1343 0.00000 55.8928 17.7293 40G7 62 BITS estimated
1344 0.00000 55.6342 16.6898 40G6 55 BITS estimated
1345 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1346 0.00000 54.7282 18.7566 38G8 57 BITS_1Q observed
1347 0.00000 56.3877 18.6029 41G8 77 BITS observed
1348 0.00000 56.1999 18.3579 41G8 70 BITS observed
1349 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1350 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1351 0.00000 57.3151 19.1036 43G9 75 BITS observed
1352 0.00000 54.3849 15.6317 37G5 30 BITS_1Q observed
1353 0.00000 55.2683 13.7231 39G3 40 BITS observed
1354 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1355 0.00000 57.3014 19.0523 43G9 67 BITS observed
1356 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1357 0.00000 54.9117 18.6116 38G8 48 BITS_4Q observed
1358 0.00000 55.2875 13.9220 39G3 37 BITS observed
1359 0.00000 57.8581 19.4743 44G9 68 BITS observed
1360 0.00000 57.1257 17.2895 43G7 72 BITS observed
1361 0.00000 54.9099 18.6050 38G8 47 BITS_4Q observed
1362 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1363 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1364 0.00000 54.4082 16.0367 37G6 26 BITS_1Q observed
1365 0.00000 56.6937 16.9987 42G6 67 BITS observed
1366 0.00000 55.6409 14.6905 40G4 61 BITS observed
1367 0.00000 54.3849 15.6317 37G5 30 BITS_1Q observed
1368 5.00000 55.8350 15.9437 40G5 56 BITS observed
1369 0.00000 54.3849 15.6317 37G5 30 BITS_1Q observed
1370 0.00000 55.6409 14.6905 40G4 61 BITS observed
1371 0.00000 57.3014 19.0523 43G9 67 BITS observed
1372 0.00000 54.4433 16.0766 37G6 26 BITS_1Q observed
1373 0.00000 55.8706 16.0675 40G6 55 BITS observed
1374 0.00000 55.8706 16.0675 40G6 55 BITS observed
1375 16.00000 55.6409 14.6905 40G4 61 BITS observed
1376 0.00000 57.0454 18.8251 43G8 67 BITS observed
1377 0.00000 56.7258 16.9936 42G6 66 BITS observed
1378 0.00000 54.4399 19.0350 37G9 56 BITS_4Q observed
1379 0.00000 54.4399 19.0350 37G9 56 BITS_4Q observed
1380 0.00000 54.8367 18.5117 38G8 22 BITS_4Q observed
1381 0.00000 56.7258 16.9936 42G6 66 BITS observed
1382 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1383 0.00000 57.1257 17.2895 43G7 72 BITS observed
1384 0.00000 54.4099 16.0300 37G6 26 BITS_4Q observed
1385 0.00000 54.9117 18.6116 38G8 48 BITS_4Q observed
1386 0.00000 54.8337 15.6020 38G5 76 BITS estimated
1387 0.00000 55.0831 15.5177 39G5 73 BITS estimated
1388 0.00000 55.8365 16.1963 40G6 57 BITS estimated
1389 0.00000 55.6555 15.0947 40G5 76 BITS estimated
1390 0.00000 55.5193 14.9369 40G4 75 BITS estimated
1391 0.00000 55.5193 14.9369 40G4 75 BITS estimated
1392 0.00000 54.7980 16.0078 38G6 52 BITS estimated
1393 0.00000 55.2349 17.2709 39G7 90 BITS estimated
1394 0.00000 55.3205 17.2210 39G7 74 BITS estimated
1395 10.00000 55.4590 17.1983 39G7 40 BITS estimated
1396 0.00000 55.4001 17.4389 39G7 62 BITS estimated
1397 0.00000 55.7826 17.6970 40G7 58 BITS estimated
1398 7.00000 55.6342 16.6898 40G6 55 BITS estimated
1399 0.00000 54.8055 15.0000 38G4 56 BITS estimated
1400 0.00000 55.5347 16.1749 40G6 75 BITS estimated
1401 0.00000 55.8096 16.5375 40G6 56 BITS estimated
1402 0.00000 55.1081 15.2696 39G5 66 BITS estimated
1403 0.00000 55.2015 15.2070 39G5 61 BITS estimated
1404 0.00000 55.2781 16.8673 39G6 74 BITS estimated
1405 0.00000 55.6152 17.5946 40G7 40 BITS estimated
1406 0.00000 55.8928 17.7293 40G7 62 BITS estimated
1407 0.00000 55.7894 16.6815 40G6 52 BITS estimated
1408 0.00000 55.6987 14.8644 40G4 53 BITS observed
1409 0.00000 55.7965 15.9501 40G5 61 BITS observed
1410 0.00000 55.7648 15.4275 40G5 62 BITS observed
1411 0.00000 55.8023 15.8025 40G5 55 BITS observed
1412 0.00000 57.3442 17.4202 43G7 72 BITS observed
1413 0.00000 54.3849 15.6317 37G5 30 BITS_1Q observed
1414 18.00000 57.1257 17.2895 43G7 72 BITS observed
1415 0.00000 55.2875 13.9220 39G3 37 BITS observed
1416 0.00000 55.2569 13.9959 39G3 37 BITS observed
1417 0.00000 56.2235 18.4295 41G8 70 BITS observed
1418 0.00000 57.3442 17.4202 43G7 72 BITS observed
1419 0.00000 54.3817 15.7683 37G5 30 BITS_4Q observed
1420 0.00000 56.2235 18.4295 41G8 70 BITS observed
1421 0.00000 55.2117 13.5916 39G3 44 BITS observed
1422 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1423 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1424 0.00000 55.7013 14.3595 40G4 33 BITS observed
1425 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1426 0.00000 55.0482 18.3350 39G8 68 BITS_4Q observed
1427 0.00000 54.3950 19.2450 37G9 32 BITS_4Q observed
1428 0.00000 54.9117 18.6116 38G8 48 BITS_4Q observed
1429 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1430 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1431 0.00000 55.2117 13.5916 39G3 44 BITS observed
1432 0.00000 54.8982 18.1816 38G8 23 BITS_4Q observed
1433 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1434 0.00000 54.4399 19.0350 37G9 56 BITS_4Q observed
1435 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1436 0.00000 54.3917 15.8400 37G5 30 BITS_1Q observed
1437 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1438 0.00000 54.3817 15.7683 37G5 30 BITS_4Q observed
1439 0.00000 54.4433 16.0766 37G6 26 BITS_1Q observed
1440 0.00000 54.3849 15.5717 37G5 30 BITS_4Q observed
1441 0.00000 54.8982 18.1816 38G8 23 BITS_4Q observed
1442 0.00000 55.8023 15.8025 40G5 55 BITS observed
1443 0.00000 55.8350 15.9437 40G5 56 BITS observed
1444 0.00000 55.7042 14.3838 40G4 38 BITS observed
1445 0.00000 55.8023 15.8025 40G5 55 BITS observed
1446 0.00000 54.4117 19.2916 37G9 41 BITS_1Q observed
1447 0.00000 54.3817 15.7683 37G5 30 BITS_4Q observed
1448 26.00000 54.4399 19.0350 37G9 56 BITS_4Q observed
1449 0.00000 57.3151 19.1036 43G9 75 BITS observed
1450 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1451 0.00000 56.4696 18.6857 41G8 75 BITS observed
1452 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1453 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1454 0.00000 55.7648 15.4275 40G5 62 BITS observed
1455 0.00000 56.2235 18.4295 41G8 70 BITS observed
1456 0.00000 55.7365 16.3343 40G6 63 BITS estimated
1457 0.00000 55.8217 16.4630 40G6 57 BITS estimated
1458 0.00000 55.5193 14.9369 40G4 75 BITS estimated
1459 0.00000 54.7980 16.0078 38G6 52 BITS estimated
1460 0.00000 55.2349 17.2709 39G7 90 BITS estimated
1461 0.00000 55.3205 17.2210 39G7 74 BITS estimated
1462 0.00000 54.8853 15.2910 38G5 71 BITS estimated
1463 0.00000 55.0831 15.5177 39G5 73 BITS estimated
1464 0.00000 55.1081 15.2696 39G5 66 BITS estimated
1465 0.00000 55.3903 17.7505 39G7 75 BITS estimated
1466 0.00000 55.5000 17.8597 40G7 77 BITS estimated
1467 0.00000 55.7826 17.6970 40G7 58 BITS estimated
1468 0.00000 55.8928 17.7293 40G7 62 BITS estimated
1469 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1470 0.00000 55.8023 15.8025 40G5 55 BITS observed
1471 0.00000 57.1257 17.2895 43G7 72 BITS observed
1472 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1473 13.00000 55.6409 14.6905 40G4 61 BITS observed
1474 0.00000 55.6300 18.5483 40G8 97 BITS_1Q observed
1475 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1476 0.00000 55.6987 14.8644 40G4 53 BITS observed
1477 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1478 0.00000 55.8706 16.0675 40G6 55 BITS observed
1479 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1480 0.00000 54.3950 19.2450 37G9 32 BITS_4Q observed
1481 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1482 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1483 0.00000 55.7965 15.9501 40G5 61 BITS observed
1484 0.00000 55.4585 14.4779 39G4 55 BITS observed
1485 0.00000 56.1428 18.3211 41G8 75 BITS observed
1486 0.00000 54.7282 18.7566 38G8 57 BITS_1Q observed
1487 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1488 0.00000 55.7042 14.3838 40G4 38 BITS observed
1489 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1490 0.00000 54.4117 19.2916 37G9 41 BITS_1Q observed
1491 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1492 0.00000 57.1257 17.2895 43G7 72 BITS observed
1493 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1494 0.00000 54.9117 18.6116 38G8 48 BITS_4Q observed
1495 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1496 0.00000 56.3877 18.6029 41G8 77 BITS observed
1497 0.00000 54.4033 19.2867 37G9 33 BITS_1Q observed
1498 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1499 0.00000 54.8367 18.5117 38G8 22 BITS_4Q observed
1500 0.00000 54.8367 18.5117 38G8 22 BITS_4Q observed
1501 0.00000 54.4117 19.2916 37G9 41 BITS_1Q observed
1502 0.00000 55.2875 13.9220 39G3 37 BITS observed
1503 0.00000 54.3917 15.8400 37G5 30 BITS_1Q observed
1504 0.00000 54.4099 16.0300 37G6 26 BITS_4Q observed
1505 0.00000 55.2683 13.7231 39G3 40 BITS observed
1506 0.00000 54.3849 15.6317 37G5 30 BITS_1Q observed
1507 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1508 0.00000 54.9117 18.6116 38G8 48 BITS_4Q observed
1509 0.00000 55.0482 18.3350 39G8 68 BITS_4Q observed
1510 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1511 0.00000 55.8451 15.5663 40G5 39 BITS observed
1512 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1513 0.00000 54.4399 19.0350 37G9 56 BITS_4Q observed
1514 0.00000 55.4585 14.4779 39G4 55 BITS observed
1515 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1516 0.00000 55.7013 14.3595 40G4 33 BITS observed
1517 0.00000 55.7648 15.4275 40G5 62 BITS observed
1518 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1519 0.00000 55.2569 13.9959 39G3 37 BITS observed
1520 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1521 0.00000 54.4099 16.0300 37G6 26 BITS_4Q observed
1522 0.00000 55.7648 15.4275 40G5 62 BITS observed
1523 0.00000 54.4117 19.2916 37G9 41 BITS_1Q observed
1524 0.00000 54.4433 16.0766 37G6 26 BITS_1Q observed
1525 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1526 0.00000 55.2117 13.5916 39G3 44 BITS observed
1527 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1528 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1529 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1530 0.00000 55.7965 15.9501 40G5 61 BITS observed
1531 0.00000 55.1081 15.2696 39G5 66 BITS estimated
1532 0.00000 55.2015 15.2070 39G5 61 BITS estimated
1533 0.00000 55.6555 15.0947 40G5 76 BITS estimated
1534 0.00000 55.2349 17.2709 39G7 90 BITS estimated
1535 0.00000 55.2586 17.3967 39G7 89 BITS estimated
1536 0.00000 55.3832 17.3661 39G7 62 BITS estimated
1537 0.00000 55.4001 17.4389 39G7 62 BITS estimated
1538 0.00000 55.5000 17.8597 40G7 77 BITS estimated
1539 0.00000 54.8055 15.0000 38G4 56 BITS estimated
1540 0.00000 54.6542 15.1380 38G5 58 BITS estimated
1541 0.00000 55.8217 16.4630 40G6 57 BITS estimated
1542 0.00000 55.8365 16.1963 40G6 57 BITS estimated
1543 0.00000 55.3903 17.7505 39G7 75 BITS estimated
1544 0.00000 55.8928 17.7293 40G7 62 BITS estimated
1545 0.00000 55.6342 16.6898 40G6 55 BITS estimated
1546 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1547 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1548 0.00000 55.4585 14.4779 39G4 55 BITS observed
1549 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1550 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1551 0.00000 56.3877 18.6029 41G8 77 BITS observed
1552 0.00000 55.7042 14.3838 40G4 38 BITS observed
1553 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1554 0.00000 54.8982 18.1816 38G8 23 BITS_4Q observed
1555 0.00000 54.8367 18.5117 38G8 22 BITS_4Q observed
1556 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1557 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1558 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1559 0.00000 55.2117 13.5916 39G3 44 BITS observed
1560 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1561 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1562 0.00000 55.2683 13.7231 39G3 40 BITS observed
1563 0.00000 56.3917 18.5100 41G8 44 BITS_4Q observed
1564 0.00000 54.4333 19.0833 37G9 49 BITS_4Q observed
1565 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1566 0.00000 55.2875 13.9220 39G3 37 BITS observed
1567 0.00000 56.1428 18.3211 41G8 75 BITS observed
1568 0.00000 57.3151 19.1036 43G9 75 BITS observed
1569 0.00000 56.2235 18.4295 41G8 70 BITS observed
1570 0.00000 54.4399 19.0350 37G9 56 BITS_4Q observed
1571 0.00000 57.1668 18.8292 43G8 49 BITS observed
1572 0.00000 56.7258 16.9936 42G6 66 BITS observed
1573 0.00000 54.8982 18.1816 38G8 23 BITS_4Q observed
1574 0.00000 55.0482 18.3350 39G8 68 BITS_4Q observed
1575 0.00000 54.3849 15.6317 37G5 30 BITS_1Q observed
1576 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1577 0.00000 54.4082 16.0367 37G6 26 BITS_1Q observed
1578 0.00000 56.3909 18.4864 41G8 38 BITS observed
1579 13.00000 56.1428 18.3211 41G8 75 BITS observed
1580 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1581 8.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1582 11.00000 55.6409 14.6905 40G4 61 BITS observed
1583 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1584 0.00000 54.8337 15.6020 38G5 76 BITS estimated
1585 0.00000 55.8365 16.1963 40G6 57 BITS estimated
1586 0.00000 55.5193 14.9369 40G4 75 BITS estimated
1587 0.00000 55.5193 14.9369 40G4 75 BITS estimated
1588 0.00000 55.2349 17.2709 39G7 90 BITS estimated
1589 0.00000 55.3205 17.2210 39G7 74 BITS estimated
1590 0.00000 55.5000 17.8597 40G7 77 BITS estimated
1591 0.00000 55.8928 17.7293 40G7 62 BITS estimated
1592 14.00000 55.6342 16.6898 40G6 55 BITS estimated
1593 0.00000 54.8055 15.0000 38G4 56 BITS estimated
1594 0.00000 54.6542 15.1380 38G5 58 BITS estimated
1595 0.00000 55.0831 15.5177 39G5 73 BITS estimated
1596 0.00000 55.1081 15.2696 39G5 66 BITS estimated
1597 0.00000 55.2015 15.2070 39G5 61 BITS estimated
1598 0.00000 55.6555 15.0947 40G5 76 BITS estimated
1599 0.00000 55.5193 14.9369 40G4 75 BITS estimated
1600 0.00000 55.2586 17.3967 39G7 89 BITS estimated
1601 0.00000 55.7826 17.6970 40G7 58 BITS estimated
1602 0.00000 55.7013 14.3595 40G4 33 BITS observed
1603 0.00000 55.8350 15.9437 40G5 56 BITS observed
1604 21.00000 54.4399 19.0350 37G9 56 BITS_4Q observed
1605 0.00000 55.0482 18.3350 39G8 68 BITS_4Q observed
1606 0.00000 55.7648 15.4275 40G5 62 BITS observed
1607 0.00000 55.9866 19.3367 40G9 73 BITS_4Q observed
1608 3.00000 55.2569 13.9959 39G3 37 BITS observed
1609 0.00000 55.2117 13.5916 39G3 44 BITS observed
1610 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1611 0.00000 54.4382 16.0582 37G6 27 BITS_4Q observed
1612 0.00000 54.9117 18.6116 38G8 48 BITS_4Q observed
1613 0.00000 55.7965 15.9501 40G5 61 BITS observed
1614 0.00000 55.8350 15.9437 40G5 56 BITS observed
1615 0.00000 56.7258 16.9936 42G6 66 BITS observed
1616 0.00000 57.3442 17.4202 43G7 72 BITS observed
1617 14.00000 54.4932 19.2232 37G9 71 BITS_4Q observed
1618 0.00000 54.4082 16.0367 37G6 26 BITS_1Q observed
1619 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1620 0.00000 57.3442 17.4202 43G7 72 BITS observed
1621 0.00000 54.4382 16.0582 37G6 27 BITS_4Q observed
1622 0.00000 55.6987 14.8644 40G4 53 BITS observed
1623 17.00000 56.6937 16.9987 42G6 67 BITS observed
1624 0.00000 56.1428 18.3211 41G8 75 BITS observed
1625 0.00000 57.3014 19.0523 43G9 67 BITS observed
1626 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1627 0.00000 54.8982 18.1816 38G8 23 BITS_4Q observed
1628 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1629 0.00000 57.3151 19.1036 43G9 75 BITS observed
1630 0.00000 54.3917 15.8400 37G5 30 BITS_1Q observed
1631 0.00000 54.8367 18.5117 38G8 22 BITS_4Q observed
1632 0.00000 56.2556 17.8862 41G7 47 BITS observed
1633 0.00000 55.6409 14.6905 40G4 61 BITS observed
1634 0.00000 54.4117 19.2916 37G9 41 BITS_1Q observed
1635 0.00000 54.3849 15.5717 37G5 30 BITS_4Q observed
1636 3.00000 56.1428 18.3211 41G8 75 BITS observed
1637 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1638 0.00000 55.2569 13.9959 39G3 37 BITS observed
1639 0.00000 54.3817 15.7683 37G5 30 BITS_4Q observed
1640 0.00000 54.8367 18.5117 38G8 22 BITS_4Q observed
1641 0.00000 55.2875 13.9220 39G3 37 BITS observed
1642 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1643 0.00000 55.7965 15.9501 40G5 61 BITS observed
1644 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1645 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1646 0.00000 54.4082 16.0367 37G6 26 BITS_1Q observed
1647 0.00000 55.7042 14.3838 40G4 38 BITS observed
1648 0.00000 56.2235 18.4295 41G8 70 BITS observed
1649 0.00000 55.2683 13.7231 39G3 40 BITS observed
1650 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1651 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1652 0.00000 56.3877 18.6029 41G8 77 BITS observed
1653 0.00000 54.8055 15.0000 38G4 56 BITS estimated
1654 0.00000 54.8055 15.0000 38G4 56 BITS estimated
1655 0.00000 54.8337 15.6020 38G5 76 BITS estimated
1656 0.00000 55.0439 15.2218 39G5 53 BITS estimated
1657 0.00000 55.8365 16.1963 40G6 57 BITS estimated
1658 0.00000 55.6555 15.0947 40G5 76 BITS estimated
1659 0.00000 55.2349 17.2709 39G7 90 BITS estimated
1660 0.00000 55.8928 17.7293 40G7 62 BITS estimated
1661 25.00000 55.6342 16.6898 40G6 55 BITS estimated
1662 0.00000 54.8853 15.2910 38G5 71 BITS estimated
1663 0.00000 55.0831 15.5177 39G5 73 BITS estimated
1664 0.00000 55.8217 16.4630 40G6 57 BITS estimated
1665 0.00000 55.2015 15.2070 39G5 61 BITS estimated
1666 0.00000 55.4575 14.7159 39G4 69 BITS estimated
1667 0.00000 54.8787 16.6480 38G6 20 BITS estimated
1668 0.00000 55.2586 17.3967 39G7 89 BITS estimated
1669 0.00000 55.6152 17.5946 40G7 40 BITS estimated
1670 0.00000 55.6152 17.5946 40G7 40 BITS estimated
1671 0.00000 55.8023 15.8025 40G5 55 BITS observed
1672 0.00000 55.8350 15.9437 40G5 56 BITS observed
1673 0.00000 54.8982 18.1816 38G8 23 BITS_4Q observed
1674 0.00000 55.2875 13.9220 39G3 37 BITS observed
1675 7.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1676 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1677 0.00000 54.4433 16.0766 37G6 26 BITS_1Q observed
1678 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1679 20.00000 55.2875 13.9220 39G3 37 BITS observed
1680 0.00000 55.7042 14.3838 40G4 38 BITS observed
1681 0.00000 55.7648 15.4275 40G5 62 BITS observed
1682 11.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1683 0.00000 54.4099 16.0300 37G6 26 BITS_4Q observed
1684 4.00000 56.2235 18.4295 41G8 70 BITS observed
1685 0.00000 57.3442 17.4202 43G7 72 BITS observed
1686 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1687 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1688 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1689 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1690 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1691 0.00000 55.7648 15.4275 40G5 62 BITS observed
1692 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1693 0.00000 54.3917 15.8400 37G5 30 BITS_1Q observed
1694 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1695 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1696 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1697 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1698 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1699 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1700 6.00000 55.7042 14.3838 40G4 38 BITS observed
1701 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1702 0.00000 54.9117 18.6116 38G8 48 BITS_4Q observed
1703 8.00000 55.7042 14.3838 40G4 38 BITS observed
1704 0.00000 54.3849 15.6317 37G5 30 BITS_1Q observed
1705 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1706 0.00000 54.4117 19.2916 37G9 41 BITS_1Q observed
1707 0.00000 54.4433 16.0766 37G6 26 BITS_1Q observed
1708 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1709 0.00000 54.3849 15.6317 37G5 30 BITS_1Q observed
1710 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1711 0.00000 56.3909 18.4864 41G8 38 BITS observed
1712 0.00000 57.4636 17.0894 43G7 66 BITS observed
1713 0.00000 55.7013 14.3595 40G4 33 BITS observed
1714 0.00000 55.7013 14.3595 40G4 33 BITS observed
1715 0.00000 54.4082 16.0367 37G6 26 BITS_1Q observed
1716 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1717 0.00000 56.6937 16.9987 42G6 67 BITS observed
1718 0.00000 54.8055 15.0000 38G4 56 BITS estimated
1719 8.00000 54.8337 15.6020 38G5 76 BITS estimated
1720 10.00000 55.8365 16.1963 40G6 57 BITS estimated
1721 0.00000 55.6555 15.0947 40G5 76 BITS estimated
1722 0.00000 55.5193 14.9369 40G4 75 BITS estimated
1723 0.00000 55.2781 16.8673 39G6 74 BITS estimated
1724 0.00000 55.2349 17.2709 39G7 90 BITS estimated
1725 0.00000 55.3832 17.3661 39G7 62 BITS estimated
1726 0.00000 55.5000 17.8597 40G7 77 BITS estimated
1727 0.00000 55.6342 16.6898 40G6 55 BITS estimated
1728 0.00000 54.6542 15.1380 38G5 58 BITS estimated
1729 0.00000 54.8853 15.2910 38G5 71 BITS estimated
1730 0.00000 55.0439 15.2218 39G5 53 BITS estimated
1731 0.00000 55.0831 15.5177 39G5 73 BITS estimated
1732 0.00000 55.7365 16.3343 40G6 63 BITS estimated
1733 0.00000 55.2015 15.2070 39G5 61 BITS estimated
1734 0.00000 55.3205 17.2210 39G7 74 BITS estimated
1735 0.00000 55.3903 17.7505 39G7 75 BITS estimated
1736 0.00000 55.5540 17.6003 40G7 42 BITS estimated
1737 0.00000 55.6152 17.5946 40G7 40 BITS estimated
1738 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1739 0.00000 54.4117 19.2932 37G9 41 BITS_4Q observed
1740 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1741 0.00000 54.4082 16.0367 37G6 26 BITS_1Q observed
1742 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1743 0.00000 55.8706 16.0675 40G6 55 BITS observed
1744 0.00000 55.2569 13.9959 39G3 37 BITS observed
1745 6.00000 54.7867 18.6750 38G8 32 BITS_4Q observed
1746 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1747 0.00000 54.3849 15.6317 37G5 30 BITS_1Q observed
1748 27.00000 55.4585 14.4779 39G4 55 BITS observed
1749 0.00000 54.3950 19.2450 37G9 32 BITS_4Q observed
1750 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1751 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1752 0.00000 55.6409 14.6905 40G4 61 BITS observed
1753 0.00000 55.2117 13.5916 39G3 44 BITS observed
1754 0.00000 55.2569 13.9959 39G3 37 BITS observed
1755 0.00000 57.3151 19.1036 43G9 75 BITS observed
1756 0.00000 54.4099 16.0300 37G6 26 BITS_4Q observed
1757 21.00000 54.8982 18.1816 38G8 23 BITS_4Q observed
1758 9.00000 55.6409 14.6905 40G4 61 BITS observed
1759 0.00000 57.3014 19.0523 43G9 67 BITS observed
1760 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1761 0.00000 55.2569 13.9959 39G3 37 BITS observed
1762 0.00000 55.6987 14.8644 40G4 53 BITS observed
1763 0.00000 55.2569 13.9959 39G3 37 BITS observed
1764 0.00000 56.1428 18.3211 41G8 75 BITS observed
1765 0.00000 54.7282 18.7566 38G8 57 BITS_1Q observed
1766 6.00000 55.4585 14.4779 39G4 55 BITS observed
1767 0.00000 54.4082 16.0367 37G6 26 BITS_1Q observed
1768 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1769 0.00000 55.8350 15.9437 40G5 56 BITS observed
1770 4.00000 56.4514 16.7784 41G6 61 BITS observed
1771 0.00000 54.4082 16.0367 37G6 26 BITS_1Q observed
1772 0.00000 55.7965 15.9501 40G5 61 BITS observed
1773 0.00000 56.3877 18.6029 41G8 77 BITS observed
1774 0.00000 57.3151 19.1036 43G9 75 BITS observed
1775 0.00000 55.0439 15.2218 39G5 53 BITS estimated
1776 0.00000 55.0831 15.5177 39G5 73 BITS estimated
1777 0.00000 55.8096 16.5375 40G6 56 BITS estimated
1778 0.00000 55.6555 15.0947 40G5 76 BITS estimated
1779 0.00000 55.5193 14.9369 40G4 75 BITS estimated
1780 0.00000 55.5193 14.9369 40G4 75 BITS estimated
1781 0.00000 55.5193 14.9369 40G4 75 BITS estimated
1782 0.00000 55.2781 16.8673 39G6 74 BITS estimated
1783 0.00000 55.2349 17.2709 39G7 90 BITS estimated
1784 0.00000 55.2586 17.3967 39G7 89 BITS estimated
1785 0.00000 55.3205 17.2210 39G7 74 BITS estimated
1786 0.00000 55.4590 17.1983 39G7 40 BITS estimated
1787 0.00000 55.4590 17.1983 39G7 40 BITS estimated
1788 0.00000 55.5000 17.8597 40G7 77 BITS estimated
1789 0.00000 55.8928 17.7293 40G7 62 BITS estimated
1790 0.00000 54.8055 15.0000 38G4 56 BITS estimated
1791 0.00000 54.6542 15.1380 38G5 58 BITS estimated
1792 0.00000 55.8217 16.4630 40G6 57 BITS estimated
1793 0.00000 55.8365 16.1963 40G6 57 BITS estimated
1794 0.00000 55.5193 14.9369 40G4 75 BITS estimated
1795 0.00000 54.7980 16.0078 38G6 52 BITS estimated
1796 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1797 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1798 0.00000 54.3917 15.8400 37G5 30 BITS_1Q observed
1799 0.00000 54.3917 15.8400 37G5 30 BITS_1Q observed
1800 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1801 0.00000 54.4382 16.0582 37G6 27 BITS_4Q observed
1802 4.00000 55.7013 14.3595 40G4 33 BITS observed
1803 10.00000 54.4033 19.2867 37G9 33 BITS_1Q observed
1804 0.00000 55.2117 13.5916 39G3 44 BITS observed
1805 0.00000 55.6987 14.8644 40G4 53 BITS observed
1806 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1807 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1808 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1809 10.00000 54.8982 18.1816 38G8 23 BITS_4Q observed
1810 0.00000 54.4200 19.0300 37G9 41 BITS_4Q observed
1811 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1812 0.00000 54.7282 18.7566 38G8 57 BITS_1Q observed
1813 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1814 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1815 0.00000 54.3849 15.6317 37G5 30 BITS_1Q observed
1816 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1817 16.00000 56.1428 18.3211 41G8 75 BITS observed
1818 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1819 18.00000 54.8982 18.1816 38G8 23 BITS_4Q observed
1820 0.00000 55.2875 13.9220 39G3 37 BITS observed
1821 0.00000 54.5416 18.9532 38G8 66 BITS_1Q observed
1822 22.00000 56.1428 18.3211 41G8 75 BITS observed
1823 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1824 0.00000 54.4117 19.2916 37G9 41 BITS_1Q observed
1825 0.00000 55.6987 14.8644 40G4 53 BITS observed
1826 0.00000 56.2235 18.4295 41G8 70 BITS observed
1827 20.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1828 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1829 32.00000 54.4399 19.0350 37G9 56 BITS_4Q observed
1830 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1831 0.00000 54.6766 18.8150 38G8 65 BITS_1Q observed
1832 0.00000 55.0482 18.3350 39G8 68 BITS_4Q observed
1833 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1834 0.00000 54.5416 18.9532 38G8 66 BITS_1Q observed
1835 0.00000 55.2117 13.5916 39G3 44 BITS observed
1836 0.00000 55.2117 13.5916 39G3 44 BITS observed
1837 0.00000 56.7258 16.9936 42G6 66 BITS observed
1838 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1839 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1840 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1841 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1842 0.00000 56.6937 16.9987 42G6 67 BITS observed
1843 0.00000 54.8853 15.2910 38G5 71 BITS estimated
1844 0.00000 55.0439 15.2218 39G5 53 BITS estimated
1845 0.00000 55.0831 15.5177 39G5 73 BITS estimated
1846 0.00000 55.6555 15.0947 40G5 76 BITS estimated
1847 0.00000 55.2781 16.8673 39G6 74 BITS estimated
1848 0.00000 55.2349 17.2709 39G7 90 BITS estimated
1849 0.00000 55.3832 17.3661 39G7 62 BITS estimated
1850 0.00000 55.7826 17.6970 40G7 58 BITS estimated
1851 0.00000 55.8928 17.7293 40G7 62 BITS estimated
1852 0.00000 55.5347 16.1749 40G6 75 BITS estimated
1853 0.00000 55.7365 16.3343 40G6 63 BITS estimated
1854 0.00000 55.8217 16.4630 40G6 57 BITS estimated
1855 0.00000 55.8365 16.1963 40G6 57 BITS estimated
1856 0.00000 55.1081 15.2696 39G5 66 BITS estimated
1857 0.00000 54.7980 16.0078 38G6 52 BITS estimated
1858 0.00000 55.2586 17.3967 39G7 89 BITS estimated
1859 13.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1860 0.00000 56.4696 18.6857 41G8 75 BITS observed
1861 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1862 0.00000 54.3817 15.7683 37G5 30 BITS_4Q observed
1863 0.00000 56.3489 18.4896 41G8 54 BITS observed
1864 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1865 21.00000 54.7282 18.7500 38G8 52 BITS_4Q observed
1866 0.00000 54.4099 16.0300 37G6 26 BITS_4Q observed
1867 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1868 0.00000 56.3877 18.6029 41G8 77 BITS observed
1869 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1870 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1871 0.00000 55.7648 15.4275 40G5 62 BITS observed
1872 0.00000 55.7042 14.3838 40G4 38 BITS observed
1873 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1874 0.00000 54.3849 15.6317 37G5 30 BITS_1Q observed
1875 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1876 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1877 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1878 17.00000 55.7648 15.4275 40G5 62 BITS observed
1879 0.00000 54.4382 16.0582 37G6 27 BITS_4Q observed
1880 0.00000 54.4433 16.0766 37G6 26 BITS_1Q observed
1881 0.00000 54.4082 16.0367 37G6 26 BITS_1Q observed
1882 0.00000 54.4082 16.0367 37G6 26 BITS_1Q observed
1883 0.00000 55.2683 13.7231 39G3 40 BITS observed
1884 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1885 0.00000 54.4433 16.0766 37G6 26 BITS_1Q observed
1886 18.00000 55.6409 14.6905 40G4 61 BITS observed
1887 0.00000 55.2683 13.7231 39G3 40 BITS observed
1888 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1889 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1890 26.00000 56.2556 17.8862 41G7 47 BITS observed
1891 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1892 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1893 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1894 9.00000 55.2875 13.9220 39G3 37 BITS observed
1895 0.00000 55.4585 14.4779 39G4 55 BITS observed
1896 0.00000 55.7013 14.3595 40G4 33 BITS observed
1897 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1898 16.00000 54.8055 15.0000 38G4 56 BITS estimated
1899 26.00000 55.0439 15.2218 39G5 53 BITS estimated
1900 19.00000 55.7365 16.3343 40G6 63 BITS estimated
1901 0.00000 55.8365 16.1963 40G6 57 BITS estimated
1902 0.00000 55.5193 14.9369 40G4 75 BITS estimated
1903 0.00000 54.7980 16.0078 38G6 52 BITS estimated
1904 0.00000 55.2349 17.2709 39G7 90 BITS estimated
1905 0.00000 55.3832 17.3661 39G7 62 BITS estimated
1906 0.00000 55.4001 17.4389 39G7 62 BITS estimated
1907 17.00000 55.5000 17.8597 40G7 77 BITS estimated
1908 0.00000 54.6542 15.1380 38G5 58 BITS estimated
1909 0.00000 55.6555 15.0947 40G5 76 BITS estimated
1910 0.00000 55.2586 17.3967 39G7 89 BITS estimated
1911 0.00000 55.8928 17.7293 40G7 62 BITS estimated
1912 0.00000 54.9117 18.6116 38G8 48 BITS_4Q observed
1913 0.00000 56.1428 18.3211 41G8 75 BITS observed
1914 0.00000 54.4099 16.0300 37G6 26 BITS_4Q observed
1915 0.00000 55.4585 14.4779 39G4 55 BITS observed
1916 13.00000 55.2569 13.9959 39G3 37 BITS observed
1917 0.00000 55.2569 13.9959 39G3 37 BITS observed
1918 0.00000 55.0482 18.3350 39G8 68 BITS_4Q observed
1919 0.00000 54.4433 16.0766 37G6 26 BITS_1Q observed
1920 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1921 0.00000 56.1428 18.3211 41G8 75 BITS observed
1922 0.00000 56.2235 18.4295 41G8 70 BITS observed
1923 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
1924 33.00000 55.7042 14.3838 40G4 38 BITS observed
1925 20.00000 56.2556 17.8862 41G7 47 BITS observed
1926 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1927 9.00000 54.7867 18.6750 38G8 32 BITS_4Q observed
1928 0.00000 54.4082 16.0367 37G6 26 BITS_1Q observed
1929 0.00000 55.4585 14.4779 39G4 55 BITS observed
1930 0.00000 54.6850 16.5982 38G6 29 BITS_1Q observed
1931 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1932 0.00000 55.2117 13.5916 39G3 44 BITS observed
1933 6.00000 56.3877 18.6029 41G8 77 BITS observed
1934 0.00000 54.3849 15.6317 37G5 30 BITS_1Q observed
1935 0.00000 54.4433 16.0766 37G6 26 BITS_1Q observed
1936 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1937 0.00000 55.0831 15.5177 39G5 73 BITS estimated
1938 0.00000 54.7980 16.0078 38G6 52 BITS estimated
1939 0.00000 55.2349 17.2709 39G7 90 BITS estimated
1940 24.00000 55.3205 17.2210 39G7 74 BITS estimated
1941 0.00000 55.3832 17.3661 39G7 62 BITS estimated
1942 0.00000 55.5000 17.8597 40G7 77 BITS estimated
1943 0.00000 56.0867 17.4182 41G7 41 BITS estimated
1944 0.00000 54.8337 15.6020 38G5 76 BITS estimated
1945 0.00000 55.0439 15.2218 39G5 53 BITS estimated
1946 0.00000 55.7365 16.3343 40G6 63 BITS estimated
1947 0.00000 55.2015 15.2070 39G5 61 BITS estimated
1948 0.00000 54.8787 16.6480 38G6 20 BITS estimated
1949 0.00000 55.4183 18.4250 39G8 85 BITS_1Q observed
1950 0.00000 54.8982 18.1816 38G8 23 BITS_4Q observed
1951 0.00000 54.6766 18.8150 38G8 65 BITS_1Q observed
1952 0.00000 55.4183 18.4250 39G8 85 BITS_1Q observed
1953 0.00000 55.7648 15.4275 40G5 62 BITS observed
1954 0.00000 55.7013 14.3595 40G4 33 BITS observed
1955 12.00000 54.4117 19.2916 37G9 41 BITS_1Q observed
1956 0.00000 55.6409 14.6905 40G4 61 BITS observed
1957 0.00000 54.7282 18.7500 38G8 52 BITS_4Q observed
1958 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1959 0.00000 55.6300 18.5483 40G8 97 BITS_1Q observed
1960 0.00000 54.9399 19.0467 38G9 101 BITS_4Q observed
1961 0.00000 54.7732 16.8616 38G6 30 BITS_4Q observed
1962 0.00000 55.7965 15.9501 40G5 61 BITS observed
1963 0.00000 54.5099 19.3482 38G9 72 BITS_4Q observed
1964 9.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1965 22.00000 55.8706 16.0675 40G6 55 BITS observed
1966 3.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1967 0.00000 56.3900 18.5117 41G8 45 BITS_4Q observed
1968 0.00000 55.2569 13.9959 39G3 37 BITS observed
1969 0.00000 54.4433 16.0766 37G6 26 BITS_1Q observed
1970 9.00000 57.3014 19.0523 43G9 67 BITS observed
1971 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1972 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
1973 0.00000 55.4183 18.4250 39G8 85 BITS_1Q observed
1974 0.00000 55.8350 15.9437 40G5 56 BITS observed
1975 27.00000 54.4433 16.0766 37G6 26 BITS_1Q observed
1976 17.00000 55.2875 13.9220 39G3 37 BITS observed
1977 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1978 0.00000 54.7867 18.6750 38G8 32 BITS_4Q observed
1979 0.00000 54.4333 19.0833 37G9 49 BITS_4Q observed
1980 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1981 24.00000 55.7365 16.3343 40G6 63 BITS estimated
1982 0.00000 55.1081 15.2696 39G5 66 BITS estimated
1983 0.00000 55.2015 15.2070 39G5 61 BITS estimated
1984 21.00000 54.7980 16.0078 38G6 52 BITS estimated
1985 0.00000 55.3205 17.2210 39G7 74 BITS estimated
1986 0.00000 55.4001 17.4389 39G7 62 BITS estimated
1987 0.00000 55.3903 17.7505 39G7 75 BITS estimated
1988 12.00000 55.5000 17.8597 40G7 77 BITS estimated
1989 33.00000 55.8928 17.7293 40G7 62 BITS estimated
1990 0.00000 54.8055 15.0000 38G4 56 BITS estimated
1991 0.00000 55.0831 15.5177 39G5 73 BITS estimated
1992 0.00000 55.2781 16.8673 39G6 74 BITS estimated
1993 0.00000 55.6152 17.5946 40G7 40 BITS estimated
1994 0.00000 55.7826 17.6970 40G7 58 BITS estimated
1995 0.00000 55.6342 16.6898 40G6 55 BITS estimated
1996 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
1997 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
1998 0.00000 55.1899 18.5916 39G8 85 BITS_1Q observed
1999 0.00000 54.4082 16.0367 37G6 26 BITS_1Q observed
2000 0.00000 55.2875 13.9220 39G3 37 BITS observed
2001 18.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
2002 3.00000 56.1428 18.3211 41G8 75 BITS observed
2003 0.00000 54.6417 16.3733 38G6 32 BITS_1Q observed
2004 0.00000 54.6916 16.6417 38G6 29 BITS_4Q observed
2005 0.00000 54.6683 19.3033 38G9 88 BITS_1Q observed
2006 0.00000 54.4399 19.0350 37G9 56 BITS_4Q observed
2007 0.00000 56.1332 19.5817 41G9 64 BITS_1Q observed
2008 0.00000 54.7282 18.7500 38G8 52 BITS_4Q observed
2009 0.00000 54.4099 16.0300 37G6 26 BITS_4Q observed
2010 5.00000 55.8350 15.9437 40G5 56 BITS observed
2011 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
2012 0.00000 55.1899 18.5916 39G8 85 BITS_1Q observed
2013 0.00000 55.6987 14.8644 40G4 53 BITS observed
2014 0.00000 55.5399 18.4133 40G8 89 BITS_1Q observed
2015 0.00000 55.8217 16.4630 40G6 57 BITS estimated
2016 20.00000 55.8365 16.1963 40G6 57 BITS estimated
2017 0.00000 55.2015 15.2070 39G5 61 BITS estimated
2018 0.00000 55.5193 14.9369 40G4 75 BITS estimated
2019 0.00000 55.2349 17.2709 39G7 90 BITS estimated
2020 0.00000 55.3832 17.3661 39G7 62 BITS estimated
2021 0.00000 55.3903 17.7505 39G7 75 BITS estimated
2022 0.00000 55.5000 17.8597 40G7 77 BITS estimated
2023 0.00000 54.8055 15.0000 38G4 56 BITS estimated
2024 0.00000 55.0439 15.2218 39G5 53 BITS estimated
2025 0.00000 55.7365 16.3343 40G6 63 BITS estimated
2026 0.00000 55.3205 17.2210 39G7 74 BITS estimated
2027 0.00000 55.4001 17.4389 39G7 62 BITS estimated
2028 0.00000 55.6152 17.5946 40G7 40 BITS estimated
2029 30.00000 54.7282 18.7500 38G8 52 BITS_4Q observed
2030 0.00000 55.4585 14.4779 39G4 55 BITS observed
2031 47.00000 54.9099 18.6050 38G8 47 BITS_4Q observed
2032 22.00000 54.8367 18.5117 38G8 22 BITS_4Q observed
2033 9.00000 55.6409 14.6905 40G4 61 BITS observed
2034 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
2035 0.00000 55.4585 14.4779 39G4 55 BITS observed
2036 0.00000 54.4382 16.0582 37G6 27 BITS_4Q observed
2037 0.00000 55.5932 18.3850 40G8 92 BITS_1Q observed
2038 0.00000 56.1428 18.3211 41G8 75 BITS observed
2039 57.00000 54.9117 18.6116 38G8 48 BITS_4Q observed
2040 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
2041 34.00000 54.7867 18.6750 38G8 32 BITS_4Q observed
2042 0.00000 55.8350 15.9437 40G5 56 BITS observed
2043 7.00000 54.7282 18.7500 38G8 52 BITS_4Q observed
2044 0.00000 55.2569 13.9959 39G3 37 BITS observed
2045 35.00000 54.4099 16.0300 37G6 26 BITS_4Q observed
2046 0.00000 55.7648 15.4275 40G5 62 BITS observed
2047 0.00000 55.2875 13.9220 39G3 37 BITS observed
2048 0.00000 54.7282 18.7500 38G8 52 BITS_4Q observed
2049 29.00000 55.0831 15.5177 39G5 73 BITS estimated
2050 0.00000 55.1081 15.2696 39G5 66 BITS estimated
2051 52.00000 54.7980 16.0078 38G6 52 BITS estimated
2052 0.00000 55.2586 17.3967 39G7 89 BITS estimated
2053 0.00000 55.3205 17.2210 39G7 74 BITS estimated
2054 0.00000 55.4001 17.4389 39G7 62 BITS estimated
2055 0.00000 55.5000 17.8597 40G7 77 BITS estimated
2056 51.00000 55.8928 17.7293 40G7 62 BITS estimated
2057 0.00000 54.8055 15.0000 38G4 56 BITS estimated
2058 0.00000 54.8853 15.2910 38G5 71 BITS estimated
2059 0.00000 55.0439 15.2218 39G5 53 BITS estimated
2060 0.00000 55.7365 16.3343 40G6 63 BITS estimated
2061 0.00000 55.8217 16.4630 40G6 57 BITS estimated
2062 0.00000 56.3877 18.6029 41G8 77 BITS observed
2063 5.00000 55.8023 15.8025 40G5 55 BITS observed
2064 7.00000 54.7282 18.7500 38G8 52 BITS_4Q observed
2065 16.00000 56.3489 18.4896 41G8 54 BITS observed
2066 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
2067 58.00000 55.7042 14.3838 40G4 38 BITS observed
2068 0.00000 54.7400 16.8667 38G6 28 BITS_4Q observed
2069 0.00000 55.8023 15.8025 40G5 55 BITS observed
2070 0.00000 55.4585 14.4779 39G4 55 BITS observed
2071 8.00000 55.1899 18.5916 39G8 85 BITS_1Q observed
2072 0.00000 57.3442 17.4202 43G7 72 BITS observed
2073 0.00000 55.2875 13.9220 39G3 37 BITS observed
2074 0.00000 54.9117 18.6116 38G8 48 BITS_4Q observed
2075 0.00000 55.6987 14.8644 40G4 53 BITS observed
2076 0.00000 55.5399 18.4133 40G8 89 BITS_1Q observed
2077 0.00000 55.6409 14.6905 40G4 61 BITS observed
2078 0.00000 55.1899 18.5916 39G8 85 BITS_1Q observed
2079 42.00000 54.8055 15.0000 38G4 56 BITS estimated
2080 25.00000 55.0439 15.2218 39G5 53 BITS estimated
2081 42.00000 55.8217 16.4630 40G6 57 BITS estimated
2082 0.00000 55.2349 17.2709 39G7 90 BITS estimated
2083 0.00000 55.3832 17.3661 39G7 62 BITS estimated
2084 0.00000 54.6542 15.1380 38G5 58 BITS estimated
2085 0.00000 54.8337 15.6020 38G5 76 BITS estimated
2086 0.00000 55.5347 16.1749 40G6 75 BITS estimated
2087 0.00000 55.7365 16.3343 40G6 63 BITS estimated
2088 0.00000 55.1081 15.2696 39G5 66 BITS estimated
2089 0.00000 55.2781 16.8673 39G6 74 BITS estimated
2090 0.00000 55.3205 17.2210 39G7 74 BITS estimated
2091 0.00000 55.5540 17.6003 40G7 42 BITS estimated
2092 0.00000 55.8027 16.6925 40G6 49 BITS estimated
2093 0.00000 54.4117 19.2916 37G9 41 BITS_1Q observed
2094 0.00000 54.8967 18.2016 38G8 23 BITS_4Q observed
2095 0.00000 55.6300 18.5483 40G8 97 BITS_1Q observed
2096 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
2097 0.00000 55.4183 18.4250 39G8 85 BITS_1Q observed
2098 0.00000 55.3682 18.4283 39G8 83 BITS_1Q observed
2099 13.00000 54.7282 18.7500 38G8 52 BITS_4Q observed
2100 0.00000 55.4585 14.4779 39G4 55 BITS observed
2101 15.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
2102 0.00000 54.8982 18.1816 38G8 23 BITS_4Q observed
2103 0.00000 55.4183 18.4250 39G8 85 BITS_1Q observed
2104 0.00000 55.2117 13.5916 39G3 44 BITS observed
2105 12.00000 55.5932 18.3850 40G8 92 BITS_1Q observed
2106 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
2107 0.00000 56.4696 18.6857 41G8 75 BITS observed
2108 0.00000 54.8055 15.0000 38G4 56 BITS estimated
2109 0.00000 55.2015 15.2070 39G5 61 BITS estimated
2110 10.00000 54.7980 16.0078 38G6 52 BITS estimated
2111 0.00000 55.2349 17.2709 39G7 90 BITS estimated
2112 0.00000 55.3205 17.2210 39G7 74 BITS estimated
2113 0.00000 55.5000 17.8597 40G7 77 BITS estimated
2114 0.00000 55.7826 17.6970 40G7 58 BITS estimated
2115 0.00000 54.6542 15.1380 38G5 58 BITS estimated
2116 0.00000 55.2875 13.9220 39G3 37 BITS observed
2117 0.00000 54.9983 17.4567 38G7 32 BITS_1Q observed
2118 0.00000 54.8583 18.5782 38G8 30 BITS_4Q observed
2119 0.00000 54.4300 15.6150 37G5 45 BITS_1Q observed
2120 0.00000 55.3682 18.4283 39G8 83 BITS_1Q observed
2121 18.00000 54.4099 16.0300 37G6 26 BITS_4Q observed
2122 0.00000 55.7042 14.3838 40G4 38 BITS observed
2123 0.00000 55.2569 13.9959 39G3 37 BITS observed
2124 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
2125 0.00000 55.2366 17.2582 39G7 90 BITS_1Q observed
2126 0.00000 55.3682 18.4283 39G8 83 BITS_1Q observed
2127 0.00000 55.0831 15.5177 39G5 73 BITS estimated
2128 9.00000 55.8096 16.5375 40G6 56 BITS estimated
2129 0.00000 55.6555 15.0947 40G5 76 BITS estimated
2130 0.00000 55.2349 17.2709 39G7 90 BITS estimated
2131 2.00000 55.3832 17.3661 39G7 62 BITS estimated
2132 2.00000 55.4001 17.4389 39G7 62 BITS estimated
2133 38.00000 55.6152 17.5946 40G7 40 BITS estimated
2134 0.00000 54.8853 15.2910 38G5 71 BITS estimated
2135 0.00000 55.7365 16.3343 40G6 63 BITS estimated
2136 0.00000 55.2117 13.5916 39G3 44 BITS observed
2137 0.00000 56.3877 18.6029 41G8 77 BITS observed
2138 15.00000 54.7783 18.7133 38G8 46 BITS_4Q observed
2139 0.00000 54.7783 18.7133 38G8 46 BITS_4Q observed
2140 0.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
2141 42.00000 54.8367 18.5117 38G8 22 BITS_4Q observed
2142 0.00000 54.8967 18.2016 38G8 23 BITS_4Q observed
2143 0.00000 56.1428 18.3211 41G8 75 BITS observed
2144 21.85715 55.2875 13.9220 39G3 37 BITS observed
2145 15.00000 55.7013 14.3595 40G4 33 BITS observed
2146 24.00000 56.1428 18.3211 41G8 75 BITS observed
2147 0.00000 55.5818 16.4355 40G6 67 BITS observed
2148 33.00000 55.7365 16.3343 40G6 63 BITS estimated
2149 0.00000 55.2781 16.8673 39G6 74 BITS estimated
2150 0.00000 55.2586 17.3967 39G7 89 BITS estimated
2151 0.00000 55.3832 17.3661 39G7 62 BITS estimated
2152 0.00000 55.4001 17.4389 39G7 62 BITS estimated
2153 6.00000 54.8967 18.2016 38G8 23 BITS_4Q observed
2154 0.00000 55.4585 14.4779 39G4 55 BITS observed
2155 9.00000 54.7282 18.7566 38G8 57 BITS_1Q observed
2156 0.00000 55.4585 14.4779 39G4 55 BITS observed
2157 0.00000 55.5399 18.4133 40G8 89 BITS_1Q observed
2158 34.00000 54.6850 16.5982 38G6 29 BITS_1Q observed
2159 0.00000 55.2875 13.9220 39G3 37 BITS observed
2160 0.00000 55.3682 18.4283 39G8 83 BITS_1Q observed
2161 0.00000 54.6766 18.8167 38G8 66 BITS_4Q observed
2162 0.00000 55.2349 17.2709 39G7 90 BITS estimated
2163 0.00000 55.4001 17.4389 39G7 62 BITS estimated
2164 0.00000 54.8853 15.2910 38G5 71 BITS estimated
2165 0.00000 55.1081 15.2696 39G5 66 BITS estimated
2166 0.00000 54.7980 16.0078 38G6 52 BITS estimated
2167 0.00000 55.3682 18.4283 39G8 83 BITS_1Q observed
2168 0.00000 55.4585 14.4779 39G4 55 BITS observed
2169 0.00000 55.2569 13.9959 39G3 37 BITS observed
2170 0.00000 57.1257 17.2895 43G7 72 BITS observed
2171 0.00000 55.4585 14.4779 39G4 55 BITS observed
2172 0.00000 55.2117 13.5916 39G3 44 BITS observed
2173 0.00000 54.8337 15.6020 38G5 76 BITS estimated
2174 0.00000 54.8337 15.6020 38G5 76 BITS estimated
2175 0.00000 55.1081 15.2696 39G5 66 BITS estimated
2176 0.00000 55.2349 17.2709 39G7 90 BITS estimated
2177 0.00000 55.3832 17.3661 39G7 62 BITS estimated
2178 2.00000 55.4001 17.4389 39G7 62 BITS estimated
2179 0.00000 55.0439 15.2218 39G5 53 BITS estimated
2180 0.00000 56.0867 17.4182 41G7 41 BITS estimated
2181 10.00000 55.4001 17.4389 39G7 62 BITS estimated
2182 0.00000 55.8027 16.6925 40G6 49 BITS estimated
2183 0.00000 55.2586 17.3967 39G7 89 BITS estimated
2184 24.00000 55.8023 15.8025 40G5 55 BITS observed
2185 21.00000 57.0454 18.8251 43G8 67 BITS observed
2186 35.00000 55.0831 15.5177 39G5 73 BITS estimated
2187 0.00000 55.2349 17.2709 39G7 90 BITS estimated
2188 5.00000 55.3205 17.2210 39G7 74 BITS estimated
2189 2.00000 55.3832 17.3661 39G7 62 BITS estimated
2190 0.00000 55.0439 15.2218 39G5 53 BITS estimated
2191 0.00000 57.3442 17.4202 43G7 72 BITS observed
2192 20.00000 57.1257 17.2895 43G7 72 BITS observed
2193 54.00000 55.3832 17.3661 39G7 62 BITS estimated
2194 0.00000 55.2569 13.9959 39G3 37 BITS observed
2195 17.00000 56.1428 18.3211 41G8 75 BITS observed
2196 10.00000 57.3442 17.4202 43G7 72 BITS observed
2197 0.00000 55.2117 13.5916 39G3 44 BITS observed
2198 0.00000 55.0439 15.2218 39G5 53 BITS estimated
2199 0.00000 55.3832 17.3661 39G7 62 BITS estimated
2200 23.00000 57.0454 18.8251 43G8 67 BITS observed
2201 81.00000 54.7783 18.7133 38G8 46 BITS_4Q observed
2202 27.00000 55.7826 17.6970 40G7 58 BITS estimated
2203 0.00000 55.3682 18.4283 39G8 83 BITS_1Q observed
2204 31.00000 54.4549 19.3416 37G9 62 BITS_1Q observed
2205 21.00000 56.2556 17.8862 41G7 47 BITS observed
2206 0.00000 54.8055 15.0000 38G4 56 BITS estimated
2207 0.00000 54.8055 15.0000 38G4 56 BITS estimated
2208 0.00000 54.7980 16.0078 38G6 52 BITS estimated
2209 37.00000 55.7042 14.3838 40G4 38 BITS observed
2210 27.00000 55.3205 17.2210 39G7 74 BITS estimated
2211 50.00000 54.4200 19.0300 37G9 41 BITS_4Q observeddd |>
filter(year %in% c(2018, 2021)) |>
group_by(ind_wgt) |>
summarise(n = n()) |>
arrange(ind_wgt) |>
filter(ind_wgt < 50) |>
ggplot(aes(ind_wgt, n)) +
geom_bar(stat = "identity")filter: removed 8,390 rows (79%), 2,211 rows remaininggroup_by: one grouping variable (ind_wgt)summarise: now 627 rows and 2 columns, ungroupedfilter: removed 573 rows (91%), 54 rows remaining
Many strange predator weights also, so small values! But we don’t know if it’s weight or length that’s wrong before calculating their condition factor
dd <- dd |>
mutate(condition = (ind_wgt/pred_length^3)*100)mutate: new variable 'condition' (double) with 4,126 unique values and 0% NAggplot(dd, aes(condition)) +
geom_histogram() +
facet_wrap(~year, scales = "free")`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
# Going to assume there's a missing digits issue here in the old data
dd |>
filter(condition > 6)filter: removed 10,598 rows (>99%), 3 rows remaining# A tibble: 3 × 21
tbl_predator_informati…¹ tbl_haul_id year month day time aphia_id_predator
<dbl> <dbl> <dbl> <dbl> <dbl> <chr> <dbl>
1 28571 2970 1993 4 2 0910 126436
2 44961 3903 2008 3 12 0800 126436
3 51273 4266 1999 11 21 0929 126436
# ℹ abbreviated name: ¹tbl_predator_information_id
# ℹ 14 more variables: ind_wgt <dbl>, pred_length <dbl>, age <dbl>, sex <chr>,
# saduria <dbl>, sprat <dbl>, herring <dbl>, lat <dbl>, lon <dbl>,
# ices_rect <chr>, depth <dbl>, survey <chr>, ind_wgt_source <chr>,
# condition <dbl>dd <- dd |>
mutate(pred_length = ifelse(condition > 700, pred_length*10, pred_length),
condition = (ind_wgt/pred_length^3)*100)mutate: changed 3 values (<1%) of 'pred_length' (0 new NA) changed 3 values (<1%) of 'condition' (0 new NA)# Now fix years 2018 & 2021 low condition values. I assume it's the length that is in mm?? given the age I mean
dd |> filter(condition < 0.2) |>
distinct(year)filter: removed 10,083 rows (95%), 518 rows remainingdistinct: removed 516 rows (>99%), 2 rows remaining# A tibble: 2 × 1
year
<dbl>
1 2021
2 2018dd |>
filter(condition < 0.2) |>
ggplot(aes(pred_length, ind_wgt, color = factor(age))) +
geom_point()filter: removed 10,083 rows (95%), 518 rows remaining
dd <- dd |>
mutate(pred_length = ifelse(condition < 0.2, pred_length/10, pred_length),
condition = (ind_wgt/pred_length^3)*100)mutate: changed 518 values (5%) of 'pred_length' (0 new NA) changed 518 values (5%) of 'condition' (0 new NA)ggplot(dd |> filter(year %in% c(2018, 2021)), aes(condition)) +
geom_histogram() +
facet_wrap(~year, scales = "free")filter: removed 8,390 rows (79%), 2,211 rows remaining`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
Now calculate feeding ratios
unique(is.na(dd$ind_wgt))[1] FALSE# No NAs and all positive weight values. Calculate feeding ratios
dd <- dd |>
mutate(FR_sad = saduria / ind_wgt,
FR_spr = sprat / ind_wgt,
FR_her = herring / ind_wgt)mutate: new variable 'FR_sad' (double) with 1,156 unique values and 0% NA new variable 'FR_spr' (double) with 1,859 unique values and 0% NA new variable 'FR_her' (double) with 1,057 unique values and 0% NAdd |>
dplyr::select(FR_sad, FR_spr, FR_her) |>
pivot_longer(everything()) |>
ggplot(aes(value)) +
geom_histogram() +
facet_wrap(~name, ncol = 1, scales = "free")pivot_longer: reorganized (FR_sad, FR_spr, FR_her) into (name, value) [was 10601x3, now 31803x2]`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
# We cannot rule out this is not due to errors in cod lengths
t <- dd |> filter(FR_sad < 0.4)filter: removed 51 rows (<1%), 10,550 rows remainingt <- dd |> filter(FR_spr < 0.4)filter: removed 238 rows (2%), 10,363 rows remainingt <- dd |> filter(FR_her < 0.4) filter: removed 56 rows (1%), 10,545 rows remainingCheck the proportion of stomachs without these prey. TODO: too late to figure out how to do this but overall it seems low…
dd %>%
pivot_longer(c("herring", "saduria", "sprat")) |>
group_by(name) |>
summarise(prop_empty = sum(value == 0)/n(),
prop_not_empty = sum(value != 0)/n())pivot_longer: reorganized (saduria, sprat, herring) into (name, value) [was 10601x24, now 31803x23]group_by: one grouping variable (name)summarise: now 3 rows and 3 columns, ungrouped# A tibble: 3 × 3
name prop_empty prop_not_empty
<chr> <dbl> <dbl>
1 herring 0.885 0.115
2 saduria 0.844 0.156
3 sprat 0.758 0.242Seems like fairly high proportions of cod without these key species in stomachs, but again, this is just from memory.
Now add in stefan neuenfeldts data, add in and remove duplicates
old <- read_csv(paste0(home, "/data/clean/stefan_stomachs.csv")) |>
dplyr::select(FR_sad, FR_spr, FR_her, X, Y, year, month, day, pred_weight, pred_size, saduria, sprat, herring,
lat, lon, square) |>
rename(ices_rect = square,
pred_length = pred_size) |>
drop_na(FR_sad) |>
drop_na(FR_spr) |>
drop_na(FR_her) |>
drop_na(pred_weight)Rows: 32784 Columns: 39
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (19): stom_id, prey_sp, length_code, stage_digestion, month, day, sd, sq...
dbl (20): herring, sprat, saduria, prey_size, prey_weight, prey_nr, year, qu...
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
rename: renamed 2 variables (pred_length, ices_rect)
drop_na: no rows removed
drop_na: no rows removed
drop_na: no rows removed
drop_na: no rows removednames(old) [1] "FR_sad" "FR_spr" "FR_her" "X" "Y"
[6] "year" "month" "day" "pred_weight" "pred_length"
[11] "saduria" "sprat" "herring" "lat" "lon"
[16] "ices_rect" old$stom_id # careful here, there are NA's in the column that calculates the id, so they might be different fish actuallyWarning: Unknown or uninitialised column: `stom_id`.NULLnames(dd) [1] "tbl_predator_information_id" "tbl_haul_id"
[3] "year" "month"
[5] "day" "time"
[7] "aphia_id_predator" "ind_wgt"
[9] "pred_length" "age"
[11] "sex" "saduria"
[13] "sprat" "herring"
[15] "lat" "lon"
[17] "ices_rect" "depth"
[19] "survey" "ind_wgt_source"
[21] "condition" "FR_sad"
[23] "FR_spr" "FR_her" # Fix some columns in the main data before merging
dd <- dd |>
mutate(month = as.character(month),
day = as.character(day)) |>
add_utm_columns(ll_names = c("lon", "lat"), utm_crs = 32633) |>
dplyr::select(FR_sad, FR_spr, FR_her, X, Y, year, month, day, ind_wgt, pred_length,
saduria, sprat, herring, lat, lon, ices_rect, depth) |>
rename(pred_weight = ind_wgt)mutate: converted 'month' from double to character (0 new NA)
converted 'day' from double to character (0 new NA)
rename: renamed one variable (pred_weight)# are there new data in the old period that is not in stefans data?
new_old <- dd |> filter(year < 2017)filter: removed 2,211 rows (21%), 8,390 rows remainingnew_old <- new_old |> mutate(sample_id = paste(year, month, day, ices_rect, sep = "_"))mutate: new variable 'sample_id' (character) with 248 unique values and 0% NAold <- old |> mutate(sample_id = paste(year, month, day, ices_rect, sep = "_"))mutate: new variable 'sample_id' (character) with 617 unique values and 0% NAnew_old <- new_old |> filter(!sample_id %in% unique(old$sample_id)) |> as.data.frame()filter: removed 8,365 rows (>99%), 25 rows remaining# Make full dataset
df <- bind_rows(old, new_old, dd)# Add sample size per coordinate for plotting
dd_plot <- df |>
group_by(year, X, Y) |>
mutate(sample_size = n(),
pos_id = paste(year, X, Y)) |>
ungroup() |>
distinct(pos_id, .keep_all = TRUE)group_by: 3 grouping variables (year, X, Y)mutate (grouped): new variable 'sample_size' (integer) with 177 unique values and 0% NA new variable 'pos_id' (character) with 1,274 unique values and 0% NAungroup: no grouping variablesdistinct: removed 42,136 rows (97%), 1,274 rows remainingplot_map_fc +
geom_point(data = dd_plot, aes(X*1000, Y*1000, size = sample_size), alpha = 0.5) +
facet_wrap(~ year, ncol = 5) +
theme_sleek(base_size = 6) +
theme(legend.position = "bottom",
axis.text.x = element_text(angle = 90)) +
scale_size(range = c(.01, 2), name = "# stomachs") +
labs(title = "Cod stomachs in space") +
geom_sf()Warning: Removed 14 rows containing missing values (`geom_point()`).
Add depth
dep_raster <- terra::rast(paste0(home, "/data/Mean depth natural colour (with land).nc"))
class(dep_raster)[1] "SpatRaster"
attr(,"package")
[1] "terra"crs(dep_raster, proj = TRUE)[1] "+proj=longlat +datum=WGS84 +no_defs"plot(dep_raster)
dd$depth <- terra::extract(dep_raster, dd |> dplyr::select(lon, lat))$elevation
ggplot(dd, aes(lon, lat, color = depth*-1)) +
geom_point()
dd$depth <- dd$depth*-1
dd <- dd |> drop_na(depth)drop_na: no rows removeddd |>
ggplot(aes(X*1000, Y*1000, color = depth)) +
geom_point() +
NULL
hist(dd$depth)
In summary:
1) When are the rest of the data uploaded?
2) What do we do with the predator ID’s that are not matched across predator and prey files (both ways?).
[3) How should we interpret weight 0? Treat it as NA weight?{style=“color:red”}.
(4) Length-weight values are sometimes off.
(5) How do we report errors? off.
# Save new data
write_csv(dd, paste0(home, "/data/clean/stomachs.csv"))